Triple
T36717264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liberty Bell Track and Field Classic |
E906944
|
entity |
| Predicate | venueCityRole |
P19642
|
FINISHED |
| Object | major U.S. athletics host city |
—
|
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: major U.S. athletics host city | Statement: [Liberty Bell Track and Field Classic, venueCityRole, major U.S. athletics host city]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: venueCityRole Context triple: [Liberty Bell Track and Field Classic, venueCityRole, major U.S. athletics host city]
-
A.
hasCityRole
Indicates that an entity holds or is assigned a specific role, function, or status within a particular city.
-
B.
endpointCityRole
Indicates the role or function that a city plays as an endpoint within a route, connection, or network.
-
C.
focusCityRole
Indicates that a city serves a particular primary role or function within a broader geographic or organizational context.
-
D.
cityOfVenue
chosen
Indicates the city in which a given venue is located.
-
E.
homeCityRole
Indicates that an entity holds or held a specific role, position, or function associated with their home city.
- 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_69f76e73ad108190a5241585f2303e9a |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f7c841388481909a408b704b30f9c7 |
completed | May 3, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69f7c4796ebc819084a0dc08505e5f14 |
completed | May 3, 2026, 9:56 p.m. |
Created at: May 3, 2026, 4:12 p.m.