Triple
T9551020
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pearic languages |
E230420
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Sa’och language
The Sa’och language is an endangered Austroasiatic language spoken by the Sa’och people of Cambodia and Thailand, belonging to the Pearic branch.
|
E806632
|
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: Sa’och language | Statement: [Pearic languages, hasMember, Sa’och language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sa’och language Context triple: [Pearic languages, hasMember, Sa’och language]
-
A.
Saho language
The Saho language is an Afroasiatic Cushitic language spoken primarily by the Saho people in Eritrea and northern Ethiopia.
-
B.
Kaera language
The Kaera language is a Papuan language spoken by a small community on Pantar Island in eastern Indonesia.
-
C.
Semai language
The Semai language is an Austroasiatic language spoken by the Semai people, an indigenous Orang Asli group in Peninsular Malaysia.
-
D.
Lasgerdi language
The Lasgerdi language is an Iranian language spoken in parts of north-central Iran and classified within the Semnani branch of Northwestern Iranian languages.
-
E.
Daakaka language
The Daakaka language is an Oceanic language spoken by communities on Ambrym Island in Vanuatu.
- 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: Sa’och language Triple: [Pearic languages, hasMember, Sa’och language]
Generated description
The Sa’och language is an endangered Austroasiatic language spoken by the Sa’och people of Cambodia and Thailand, belonging to the Pearic branch.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sa’och language Target entity description: The Sa’och language is an endangered Austroasiatic language spoken by the Sa’och people of Cambodia and Thailand, belonging to the Pearic branch.
-
A.
Saho language
The Saho language is an Afroasiatic Cushitic language spoken primarily by the Saho people in Eritrea and northern Ethiopia.
-
B.
Kaera language
The Kaera language is a Papuan language spoken by a small community on Pantar Island in eastern Indonesia.
-
C.
Semai language
The Semai language is an Austroasiatic language spoken by the Semai people, an indigenous Orang Asli group in Peninsular Malaysia.
-
D.
Lasgerdi language
The Lasgerdi language is an Iranian language spoken in parts of north-central Iran and classified within the Semnani branch of Northwestern Iranian languages.
-
E.
Daakaka language
The Daakaka language is an Oceanic language spoken by communities on Ambrym Island in Vanuatu.
- 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_69ca847d3be8819099c9dad2a7e786f1 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd991df7308190a56d95f195627513 |
completed | April 1, 2026, 10:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1528068a481908d5c8037b4591db5 |
completed | April 4, 2026, 6:03 p.m. |
| NEDg | Description generation | batch_69d153c26b8481908298b32918666562 |
completed | April 4, 2026, 6:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d15445e7a88190accd19c53a6170bb |
completed | April 4, 2026, 6:11 p.m. |
Created at: March 30, 2026, 8:02 p.m.