Triple
T2811528
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Comcast Spectacor |
E54180
|
entity |
| Predicate | notableCityAssociation |
P24465
|
FINISHED |
| Object | Philadelphia sports market |
—
|
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: Philadelphia sports market | Statement: [Comcast Spectacor, notableCityAssociation, Philadelphia sports market]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableCityAssociation Context triple: [Comcast Spectacor, notableCityAssociation, Philadelphia sports market]
-
A.
notableInCity
Indicates that an entity is particularly prominent, recognized, or significant within a specific city.
-
B.
notableCityIncluded
Indicates that a notable or significant city is contained within, or is part of, a larger geographic or administrative entity.
-
C.
notableCityOfOperation
Indicates that a city is a primary or particularly significant location where an entity conducts its operations or activities.
-
D.
cityAssociatedWith
chosen
Indicates that there is a notable connection or relationship between a city and another entity, such as relevance, involvement, or contextual association.
-
E.
notableOrganizationWithin
Indicates that one organization is a prominent or significant entity operating within the scope, structure, or domain of another organization.
- 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_69ab49dcee188190b5c6eca9ae9e3469 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abde354a5881908cd3d545f7dda81c |
completed | March 7, 2026, 8:13 a.m. |
| PD | Predicate disambiguation | batch_69abdd0740208190911dc9c9546a79ae |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 9:59 p.m.