Triple
T24416194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pa Di language |
E615588
|
entity |
| Predicate | possiblePresenceIn |
P155838
|
FINISHED |
| Object | neighboring regions of Vietnam |
—
|
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: neighboring regions of Vietnam | Statement: [Pa Di language, possiblePresenceIn, neighboring regions of Vietnam]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: possiblePresenceIn Context triple: [Pa Di language, possiblePresenceIn, neighboring regions of Vietnam]
-
A.
traditionalPresenceIn
Indicates that an entity has a customary or historically established presence within a particular place, context, or setting.
-
B.
confirmedPresenceOf
Indicates that the presence or existence of an entity has been verified as true or established with certainty.
-
C.
meetsInPresenceOf
Indicates that two or more entities meet or interact while another specified entity is present as a witness, chaperone, or contextual participant.
-
D.
hasHumanPresence
Indicates that humans are physically present in or occupying a given location, object, or context.
-
E.
typeOfPresence
Indicates the manner or mode in which an entity is present or exists in relation to another entity, context, or environment.
- F. None of above. chosen
Provenance (4 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_69e2d7e9bfac8190a748952a90957106 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f29584d7b88190b35843d3c4e81e03 |
completed | April 29, 2026, 11:34 p.m. |
| PD | Predicate disambiguation | batch_69f287cc4fd4819081e93cc638d9512d |
completed | April 29, 2026, 10:35 p.m. |
| PDg | Predicate description generation | batch_69f2915233c48190a181c8c1924e892c |
completed | April 29, 2026, 11:16 p.m. |
Created at: April 18, 2026, 2:13 a.m.