Triple
T24366432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Small Nambas area |
E614206
|
entity |
| Predicate | traditionalLanguageRegionOf |
P96310
|
FINISHED |
| Object |
Small Nambas language
The Small Nambas language is an Oceanic language spoken by the Small Nambas people of northern Vanuatu.
|
E1630888
|
NE FINISHED |
How this triple was built (3 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: Small Nambas language | Statement: [Small Nambas area, traditionalLanguageRegionOf, Small Nambas language]
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: Small Nambas language Triple: [Small Nambas area, traditionalLanguageRegionOf, Small Nambas language]
Generated description
The Small Nambas language is an Oceanic language spoken by the Small Nambas people of northern Vanuatu.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: traditionalLanguageRegionOf Context triple: [Small Nambas area, traditionalLanguageRegionOf, Small Nambas language]
-
A.
formerLanguageRegion
Indicates that a region previously used a particular language as significant or dominant, but no longer does so.
-
B.
traditionalLanguageName
Indicates the name traditionally used in a particular language to refer to the subject entity.
-
C.
hasTraditionalLanguageRegion
chosen
Indicates the geographic region traditionally associated with the use or origin of a particular language.
-
D.
motherTongueRegion
Indicates the geographic region where an entity’s native or primary language is predominantly spoken or originates.
-
E.
regionLanguage
Indicates that a particular language is used or officially recognized within a specific geographic region.
- F. None of above.
Provenance (6 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_69e2d7dfe7f08190b7a1f3a36483ab05 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f2938809f081908abf33edb62ed7f8 |
completed | April 29, 2026, 11:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0fd67166688190b705e329336d0afd |
completed | May 22, 2026, 4:07 a.m. |
| NEDg | Description generation | batch_6a0fd79af7dc81909b36001ba18566fa |
completed | May 22, 2026, 4:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0fd86469288190aa03fe497754bad3 |
completed | May 22, 2026, 4:15 a.m. |
| PD | Predicate disambiguation | batch_69f287bb1b2c81909c2e7fcc392ad143 |
completed | April 29, 2026, 10:35 p.m. |
Created at: April 18, 2026, 2:01 a.m.