Triple
T37053333
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NCAA Final Four broadcasts |
E917106
|
entity |
| Predicate | productionLocationType |
P199203
|
FINISHED |
| Object | on-site at host stadium |
—
|
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: on-site at host stadium | Statement: [NCAA Final Four broadcasts, productionLocationType, on-site at host stadium]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: productionLocationType Context triple: [NCAA Final Four broadcasts, productionLocationType, on-site at host stadium]
-
A.
productionAreaType
Indicates the type or category of area where a product or resource is produced.
-
B.
productionFacilityType
Indicates the specific kind or category of facility where production or manufacturing activities take place.
-
C.
hasPrimaryProductionLocation
Indicates that an entity’s main or principal place where it is produced or manufactured is a specified location.
-
D.
firstProductionPlace
Indicates the location where something was originally or first produced.
-
E.
steamProductionLocation
Indicates the place where steam is generated or produced.
- 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_69f76e94d0308190a3f06890e133c88e |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69ff255b84788190a94682f4efe1d0b8 |
completed | May 9, 2026, 12:15 p.m. |
| PD | Predicate disambiguation | batch_69ff24f3ab108190bb017a656cff3d82 |
completed | May 9, 2026, 12:13 p.m. |
| PDg | Predicate description generation | batch_69ff255abca881908ef7635bd2e5af98 |
completed | May 9, 2026, 12:15 p.m. |
Created at: May 3, 2026, 4:14 p.m.