Triple
T17343645
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | H.C. Carey & I. Lea |
E421126
|
entity |
| Predicate | operatedInCityKnownFor |
P14306
|
FINISHED |
| Object | Philadelphia publishing industry |
—
|
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 publishing industry | Statement: [H.C. Carey & I. Lea, operatedInCityKnownFor, Philadelphia publishing industry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatedInCityKnownFor Context triple: [H.C. Carey & I. Lea, operatedInCityKnownFor, Philadelphia publishing industry]
-
A.
notableCityOfOperation
chosen
Indicates that a city is a primary or particularly significant location where an entity conducts its operations or activities.
-
B.
performedInCity
Indicates that an action, event, or performance took place within the boundaries of a specified city.
-
C.
operatesVenueInCity
Indicates that an entity operates or manages a venue located within a specified city.
-
D.
operatesFacilityInCity
Indicates that an entity manages or runs a particular facility located within a specified city.
-
E.
operatedForHostCity
Indicates that an entity was operated on behalf of or in service to a particular host 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_69d889d3adc881909319f1edb8d2a956 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a18aca88190a816da85dd5fe371 |
completed | April 19, 2026, 2:12 a.m. |
| PD | Predicate disambiguation | batch_69e3b021a5bc81909ae55406f9d0b37f |
completed | April 18, 2026, 4:24 p.m. |
Created at: April 10, 2026, 5:44 a.m.