Triple
T35053763
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grand Theft Auto: San Andreas |
E1011401
|
entity |
| Predicate | mainCityInspiredBy |
P21809
|
FINISHED |
| Object | Los Angeles |
—
|
NE NERFINISHED |
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: Los Angeles | Statement: [Grand Theft Auto: San Andreas, mainCityInspiredBy, Los Angeles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainCityInspiredBy Context triple: [Grand Theft Auto: San Andreas, mainCityInspiredBy, Los Angeles]
-
A.
representedCity
Indicates that an entity serves as the official representative or proxy for a particular city.
-
B.
motherCityOf
Indicates that one city is considered the primary, originating, or foundational city in relation to another city, often as its source, protector, or central authority.
-
C.
cityDepicted
Indicates that a work (such as an image, artwork, or document) visually or representationally depicts a particular city.
-
D.
cityOfReference
Indicates that one entity serves as the primary or official city associated with, or used as a reference point for, another entity.
-
E.
cityOfInfluence
chosen
Indicates the city that significantly shapes, impacts, or exerts influence over a given entity.
- 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_69f76dd09c308190a523454853ce842b |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fd4129a8848190a5002150278ac689 |
completed | May 8, 2026, 1:49 a.m. |
| PD | Predicate disambiguation | batch_69fd3e0515ec8190937c7af71ebc3875 |
completed | May 8, 2026, 1:36 a.m. |
Created at: May 3, 2026, 4:01 p.m.