Triple
T25684721
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lhao Vo language |
E644034
|
entity |
| Predicate | hasLinguisticInterestFor |
P38341
|
FINISHED |
| Object | field linguists |
—
|
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: field linguists | Statement: [Lhao Vo language, hasLinguisticInterestFor, field linguists]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLinguisticInterestFor Context triple: [Lhao Vo language, hasLinguisticInterestFor, field linguists]
-
A.
hasLinguisticGoal
Indicates that an entity is associated with or directed toward achieving a particular linguistic objective or outcome.
-
B.
hasLinguist
chosen
Indicates that an entity is associated with or possesses a linguist, typically as a member, employee, collaborator, or resource.
-
C.
hasScientificInterestIn
Indicates that one entity holds a scientific curiosity, concern, or research focus directed toward another entity.
-
D.
hasLinguisticDomain
Indicates that something (such as a term, expression, or resource) is associated with or applies within a particular linguistic domain or language context.
-
E.
focusesOnLanguage
Indicates that an entity’s primary attention, activity, or content is directed toward language as its main subject or concern.
- 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_69e77e8046888190b07ffa58c7e2c37a |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f67c9fe7b48190b79b4041357edb49 |
completed | May 2, 2026, 10:37 p.m. |
| PD | Predicate disambiguation | batch_69f678cc272081909e5c70f1bc7407f0 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 21, 2026, 8:06 p.m.