Triple
T23067110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lou Henson Court at the Pan American Center |
E575074
|
entity |
| Predicate | namedFacilityWithin |
P26964
|
FINISHED |
| Object | indoor arena |
—
|
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: indoor arena | Statement: [Lou Henson Court at the Pan American Center, namedFacilityWithin, indoor arena]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: namedFacilityWithin Context triple: [Lou Henson Court at the Pan American Center, namedFacilityWithin, indoor arena]
-
A.
isNamedFacilityOf
chosen
Indicates that a facility bears the official name associated with a particular entity (such as an organization, person, or place).
-
B.
anchorFacility
Indicates a facility that serves as the primary or reference location to which another facility, operation, or entity is functionally or organizationally tied.
-
C.
identifiesFacility
Indicates that one entity serves to recognize, specify, or distinguish a particular facility as the relevant or associated one.
-
D.
namedAfterNearbyPlace
Indicates that an entity’s name is derived from or inspired by a geographically nearby place.
-
E.
hasNearbyFacility
Indicates that one entity is located close to or in the vicinity of a particular facility.
- 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_69e245bd6e4c8190bb8942245b68cad5 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f189a4e2fc81909704333306737f80 |
completed | April 29, 2026, 4:31 a.m. |
| PD | Predicate disambiguation | batch_69ef89d5f71881908b9f9d0c8aab278c |
completed | April 27, 2026, 4:07 p.m. |
Created at: April 17, 2026, 3:55 p.m.