Triple
T4862105
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bayou Bucket |
E108684
|
entity |
| Predicate | campusProximityContext |
P6776
|
FINISHED |
| Object | both universities located in Houston, Texas |
—
|
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: both universities located in Houston, Texas | Statement: [Bayou Bucket, campusProximityContext, both universities located in Houston, Texas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: campusProximityContext Context triple: [Bayou Bucket, campusProximityContext, both universities located in Houston, Texas]
-
A.
adjacentToCampusOf
Indicates that one entity is located next to or directly bordering the campus area of another entity.
-
B.
hasNearbyInstitution
chosen
Indicates that one entity is located close to or in the immediate vicinity of an institution.
-
C.
distanceFromCampusCenter
Indicates the measured or specified distance between a given location and the central point of the campus.
-
D.
mainCampusNeighborhood
Indicates that a neighborhood is the primary surrounding or associated area of a campus.
-
E.
cityCampusServes
Indicates that a city campus provides services, resources, or support to a particular population, area, or institution.
- 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_69bd440b965081908b0557721cae6338 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6d5f62b48190b367ed1b850cfbcb |
completed | March 20, 2026, 3:53 p.m. |
| PD | Predicate disambiguation | batch_69bd6c27334481909ba8ac80854f7d8e |
completed | March 20, 2026, 3:47 p.m. |
Created at: March 20, 2026, 1:26 p.m.