Triple
T4762807
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shompen language |
E105735
|
entity |
| Predicate | linguisticResearchStatus |
P13307
|
FINISHED |
| Object | understudied |
—
|
LITERAL FINISHED |
How this triple was built (2 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: understudied | Statement: [Shompen language, linguisticResearchStatus, understudied]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: linguisticResearchStatus Context triple: [Shompen language, linguisticResearchStatus, understudied]
-
A.
linguisticFeatureStatus
Indicates the current condition or state of a particular linguistic feature (such as whether it is present, active, obsolete, or otherwise characterized) in relation to an entity.
-
B.
glottologStatus
Indicates the classification or status of a language or dialect as defined in the Glottolog database.
-
C.
sociolinguisticStatus
Indicates the social and cultural standing or prestige associated with a language variety or linguistic feature within a particular community or context.
-
D.
hasResearchStatus
chosen
Indicates that an entity holds a particular stage or condition within a research process, such as planned, in progress, completed, or published.
-
E.
hasLinguisticTypology
Indicates a relationship where a language or linguistic system is characterized by a specific typological classification or structural type.
- F. None of above.
Provenance (3 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_69bd43f14cac819081c7c69803648211 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd686ef1b08190ad60375592c9d6c0 |
completed | March 20, 2026, 3:31 p.m. |
| PD | Predicate disambiguation | batch_69bd622807f881908e4bcb14f7731bac |
completed | March 20, 2026, 3:05 p.m. |
Created at: March 20, 2026, 1:20 p.m.