Triple
T5769865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Junior Mister |
E127303
|
entity |
| Predicate | setIn |
P1393
|
FINISHED |
| Object | Steeltown, USA |
E104468
|
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: Steeltown, USA | Statement: [Junior Mister, setIn, Steeltown, USA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Steeltown, USA Context triple: [Junior Mister, setIn, Steeltown, USA]
-
A.
Steeltown
chosen
Steeltown is a nickname for the Canadian city of Hamilton, reflecting its historic prominence as a major steel-producing industrial center.
-
B.
Steel City
Steel City is a common nickname for Hamilton, Ontario, reflecting its historic role as a major Canadian center of steel production and heavy industry.
-
C.
Steel City
Steel City is the industrial nickname for Pueblo, Colorado, reflecting its historic role as a major steel-producing center in the United States.
-
D.
Steel City
Steel City is a nickname for Lorain, Ohio, reflecting its historic role as a major center of steel production and heavy industry.
-
E.
Nickel City
Nickel City is a nickname for Sudbury, Ontario, reflecting its historic importance as a major global center for nickel mining and production.
- 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_69c00834f6308190851b0abeddd8ed7e |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c029aa877c8190bf6a944f18cca3b8 |
completed | March 22, 2026, 5:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c098062d2c8190a7ccddc1017e19e5 |
completed | March 23, 2026, 1:31 a.m. |
Created at: March 22, 2026, 3:50 p.m.