Triple
T21250349
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Weatherfield |
E523725
|
entity |
| Predicate | hasBusiness |
P21206
|
FINISHED |
| Object | The Factory |
—
|
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: The Factory | Statement: [Weatherfield, hasBusiness, The Factory]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Factory Context triple: [Weatherfield, hasBusiness, The Factory]
-
A.
The Factory
The Factory was Andy Warhol’s legendary New York City studio and avant-garde hub, famous for its experimental art, film, and celebrity-filled gatherings in the 1960s and 1970s.
-
B.
The Factory
chosen
The Factory is a film or television project featuring British actress Sonya Walger in a significant role.
-
C.
The Factory
The Factory is a notable arts and cultural venue in Dublin, Ireland, associated with creative performances and events.
-
D.
White Factory
White Factory is a historic 19th-century textile mill complex in Łódź, Poland, now best known as the home of the Central Museum of Textiles and a symbol of the city’s industrial heritage.
-
E.
Fabrica
Fabrica is a coastal barangay of Sagay City in Negros Occidental, Philippines, known historically for its sugar-related and port activities.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b5146c108190adc9adb73e90abff |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7359da6e08190a96c471463c2388d |
completed | April 21, 2026, 8:30 a.m. |
Created at: April 16, 2026, 3:56 p.m.