Triple
T13114511
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tchambuli society |
E311058
|
entity |
| Predicate | hasLanguage |
P15
|
FINISHED |
| Object |
Chambri language
Chambri language is a Papuan language spoken by the Chambri (Tchambuli) people of the Sepik region in Papua New Guinea.
|
E1021610
|
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: Chambri language | Statement: [Tchambuli society, hasLanguage, Chambri language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chambri language Context triple: [Tchambuli society, hasLanguage, Chambri language]
-
A.
Cham language
Cham language is an Austronesian language historically spoken by the Cham people of mainland Southeast Asia, particularly in present-day Vietnam and Cambodia.
-
B.
Chambeali language
Chambeali is an Indo-Aryan language spoken in the Chamba region of Himachal Pradesh in northern India.
-
C.
Chumburung language
The Chumburung language is a Niger-Congo language spoken primarily by the Chumburung people in Ghana.
-
D.
Kambera language
Kambera language is an Austronesian language spoken primarily on the island of Sumba in eastern Indonesia, known for its complex morphology and rich oral tradition.
-
E.
Chamalal language
The Chamalal language is a Northeast Caucasian language spoken by the Chamalal people in the western part of Dagestan, Russia.
- 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: Chambri language Triple: [Tchambuli society, hasLanguage, Chambri language]
Generated description
Chambri language is a Papuan language spoken by the Chambri (Tchambuli) people of the Sepik region in Papua New Guinea.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chambri language Target entity description: Chambri language is a Papuan language spoken by the Chambri (Tchambuli) people of the Sepik region in Papua New Guinea.
-
A.
Cham language
Cham language is an Austronesian language historically spoken by the Cham people of mainland Southeast Asia, particularly in present-day Vietnam and Cambodia.
-
B.
Chambeali language
Chambeali is an Indo-Aryan language spoken in the Chamba region of Himachal Pradesh in northern India.
-
C.
Chumburung language
The Chumburung language is a Niger-Congo language spoken primarily by the Chumburung people in Ghana.
-
D.
Kambera language
Kambera language is an Austronesian language spoken primarily on the island of Sumba in eastern Indonesia, known for its complex morphology and rich oral tradition.
-
E.
Chamalal language
The Chamalal language is a Northeast Caucasian language spoken by the Chamalal people in the western part of Dagestan, Russia.
- 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_69d806a872d08190a329806f8ff30df4 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98180b6ac8190ae5a1f7c1480bd54 |
completed | April 10, 2026, 11:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6e28105c481908781775ba489c296 |
completed | May 3, 2026, 5:52 a.m. |
| NEDg | Description generation | batch_69f6e33f44208190881bee81c2a41850 |
completed | May 3, 2026, 5:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6e407dd988190b928b8931985a815 |
completed | May 3, 2026, 5:58 a.m. |
Created at: April 9, 2026, 9:06 p.m.