Triple
T6061677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Princeton Stadium |
E135044
|
entity |
| Predicate | hasEndZonesColor |
P68412
|
FINISHED |
| Object | Princeton orange and black |
—
|
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: Princeton orange and black | Statement: [Princeton Stadium, hasEndZonesColor, Princeton orange and black]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEndZonesColor Context triple: [Princeton Stadium, hasEndZonesColor, Princeton orange and black]
-
A.
hasEndZoneSeating
Indicates that seating is available in the end zone area of a sports venue.
-
B.
hasHomeUniformTrimColor
Indicates that an entity’s home uniform features a specified trim or accent color.
-
C.
numberOfZones
Indicates the quantity of distinct zones associated with or contained by a given entity.
-
D.
hasZone
Indicates that one entity possesses, contains, or is associated with a specific zone or designated area.
-
E.
hasOuterRingColor
Indicates that an entity possesses an outer ring whose color is specified by the related value or entity.
- 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_69c00878d06881909ee78e88913bf890 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c0572100e8819084c3174921a2d527 |
completed | March 22, 2026, 8:54 p.m. |
| PD | Predicate disambiguation | batch_69c049f031408190b08b2766237c5dd0 |
completed | March 22, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69c04e8d4a148190bd8f95caae978e1b |
completed | March 22, 2026, 8:18 p.m. |
Created at: March 22, 2026, 4:10 p.m.