Triple
T4766210
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Palace of the Fans |
E105816
|
entity |
| Predicate | grandstandOrientation |
P42382
|
FINISHED |
| Object | behind home plate and along the baselines |
—
|
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: behind home plate and along the baselines | Statement: [Palace of the Fans, grandstandOrientation, behind home plate and along the baselines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: grandstandOrientation Context triple: [Palace of the Fans, grandstandOrientation, behind home plate and along the baselines]
-
A.
hasGrandstandFeature
chosen
Indicates that something possesses or includes a grandstand-related feature or characteristic.
-
B.
bandstandStyle
Indicates the architectural or design style characterizing a particular bandstand.
-
C.
stadiumFeature
Indicates that a stadium possesses or includes a particular feature, characteristic, or facility.
-
D.
legOrientation
Indicates the relative positioning or directional alignment of an entity’s leg(s) with respect to a reference frame or another object.
-
E.
stadium
Indicates that an entity is a sports or event venue where games, competitions, or large gatherings take place.
- 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_69bd43f226fc8190b867cc249c2a9042 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd686ef1b08190ad60375592c9d6c0 |
completed | March 20, 2026, 3:31 p.m. |
| PD | Predicate disambiguation | batch_69bd622807f881908e4bcb14f7731bac |
completed | March 20, 2026, 3:05 p.m. |
Created at: March 20, 2026, 1:21 p.m.