Triple
T37194995
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TA |
E921565
|
entity |
| Predicate | hasLocationsIn |
P200312
|
FINISHED |
| Object | United States |
—
|
NE NERFINISHED |
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: United States | Statement: [TA, hasLocationsIn, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLocationsIn Context triple: [TA, hasLocationsIn, United States]
-
A.
hasLocationRole
Indicates that an entity holds or plays a specific role in relation to a particular location (e.g., origin, destination, storage site, or operational area).
-
B.
hasLocationComponent
Indicates that something includes, is associated with, or is composed of a specific location-related part or element.
-
C.
hasChainLocations
Indicates that an entity operates or is associated with multiple locations belonging to the same chain or network.
-
D.
hasPlaceIn
Indicates that one entity occupies, is located within, or holds a specific position in another entity or context.
-
E.
likelyLocatedIn
Indicates that an entity is probably situated within or associated with a particular location, though not with absolute certainty.
- 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_69f76ea313a08190a54404cd1e47da90 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69ff7fc835f08190afd1f8129b7a62a2 |
completed | May 9, 2026, 6:41 p.m. |
| PD | Predicate disambiguation | batch_69ff7f2e99ac8190ba372a1358a05a30 |
completed | May 9, 2026, 6:38 p.m. |
| PDg | Predicate description generation | batch_69ff7fc715208190a8e4e2cc5aa72d2c |
completed | May 9, 2026, 6:41 p.m. |
Created at: May 3, 2026, 4:15 p.m.