Triple
T17999324
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Terrace |
E430582
|
entity |
| Predicate | positionWithinStadium |
P95425
|
FINISHED |
| Object | west side |
—
|
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: west side | Statement: [West Terrace, positionWithinStadium, west side]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionWithinStadium Context triple: [West Terrace, positionWithinStadium, west side]
-
A.
relativePositionInStadium
chosen
Indicates the spatial relationship between entities based on where they are located relative to each other within a stadium.
-
B.
locatedInStadium
Indicates that an entity is situated within or at the premises of a specific stadium.
-
C.
stadiumFor
Indicates that a particular stadium serves as the designated home or primary venue for a specific team, event, or organization.
-
D.
positionInPark
Indicates that one entity occupies a specific location or spot within a park.
-
E.
positionInCourt
Indicates the specific role or standing an entity holds within a court setting or judicial proceeding.
- 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_69d8b90364248190a37381adea932f42 |
completed | April 10, 2026, 8:46 a.m. |
| NER | Named-entity recognition | batch_69e4b3e75e908190a6ff6a3ec6069ff5 |
completed | April 19, 2026, 10:52 a.m. |
| PD | Predicate disambiguation | batch_69e3f90039e4819080527f860dca042e |
completed | April 18, 2026, 9:34 p.m. |
Created at: April 10, 2026, 10:23 a.m.