Triple
T6148389
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tani languages |
E137136
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Galo language
Galo language is a Tibeto-Burman language spoken primarily by the Galo people in Arunachal Pradesh, India.
|
E572280
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Galo language | Statement: [Tani languages, hasMember, Galo language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Galo language Context triple: [Tani languages, hasMember, Galo language]
-
A.
Gallo language
Gallo language is a regional Romance language of eastern Brittany in France, distinct from both Breton and standard French.
-
B.
Mari language
The Mari language is a Uralic language spoken primarily by the Mari people in the Mari El Republic and surrounding regions of Russia, known for its distinct dialects and rich oral tradition.
-
C.
Kalanguya language
The Kalanguya language is an Austronesian language spoken by the Kalanguya people in the northern Luzon highlands of the Philippines.
-
D.
Fala language
Fala is a small Ibero-Romance language spoken in a few villages in Spain’s Extremadura region, notable for its close relation to Galician-Portuguese and its strong local identity.
-
E.
Gurma language
Gurma language is a Gur language spoken primarily in parts of Burkina Faso, Togo, Benin, and neighboring West African countries.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Galo language Triple: [Tani languages, hasMember, Galo language]
Generated description
Galo language is a Tibeto-Burman language spoken primarily by the Galo people in Arunachal Pradesh, India.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Galo language Target entity description: Galo language is a Tibeto-Burman language spoken primarily by the Galo people in Arunachal Pradesh, India.
-
A.
Gallo language
Gallo language is a regional Romance language of eastern Brittany in France, distinct from both Breton and standard French.
-
B.
Mari language
The Mari language is a Uralic language spoken primarily by the Mari people in the Mari El Republic and surrounding regions of Russia, known for its distinct dialects and rich oral tradition.
-
C.
Kalanguya language
The Kalanguya language is an Austronesian language spoken by the Kalanguya people in the northern Luzon highlands of the Philippines.
-
D.
Fala language
Fala is a small Ibero-Romance language spoken in a few villages in Spain’s Extremadura region, notable for its close relation to Galician-Portuguese and its strong local identity.
-
E.
Gurma language
Gurma language is a Gur language spoken primarily in parts of Burkina Faso, Togo, Benin, and neighboring West African countries.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c008a2c6308190a56519b22d55d083 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05ce07fb081909278088e9e2e2959 |
completed | March 22, 2026, 9:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c13603730881909b3991c7262509b5 |
completed | March 23, 2026, 12:45 p.m. |
| NEDg | Description generation | batch_69c139f6f11c81909eb0b2ab809de079 |
completed | March 23, 2026, 1:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c13a5f53ec8190be24f37fc5fb7f32 |
completed | March 23, 2026, 1:04 p.m. |
Created at: March 22, 2026, 4:16 p.m.