Triple
T12621865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stephen Shore |
E301399
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Steel Town |
E978478
|
NE 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: Steel Town | Statement: [Stephen Shore, notableWork, Steel Town]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Steel Town Context triple: [Stephen Shore, notableWork, Steel Town]
-
A.
Steel Town
Steel Town is a nickname for Youngstown, Ohio, reflecting its historic role as a major American steel-producing city.
-
B.
Steel Town
chosen
Steel Town is a residential and industrial township in Karachi’s Malir District, originally developed to house employees of the Pakistan Steel Mills.
-
C.
Brass City
Brass City is the popular nickname for Moradabad, an Indian city renowned for its large-scale brass handicraft and metalware industry.
-
D.
The Brass City
The Brass City is a nickname for Waterbury, Connecticut, reflecting its historic prominence in brass manufacturing and metalworking.
-
E.
Steeltown
Steeltown is a nickname for the Canadian city of Hamilton, reflecting its historic prominence as a major steel-producing industrial center.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d7bdeaf49c8190b13800111fa77ea3 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d960c8671881909a102d28b0e7f603 |
completed | April 10, 2026, 8:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65ed6f79881908872c644a9789f04 |
completed | May 2, 2026, 8:30 p.m. |
Created at: April 9, 2026, 5:14 p.m.