Triple
T5130886
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lima Locomotive Works |
E115695
|
entity |
| Predicate | headquartersLocation |
P62
|
FINISHED |
| Object | Lima, Ohio |
E469161
|
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: Lima, Ohio | Statement: [Lima Locomotive Works, headquartersLocation, Lima, Ohio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lima, Ohio Context triple: [Lima Locomotive Works, headquartersLocation, Lima, Ohio]
-
A.
Lima, Ohio
chosen
Lima, Ohio is a small Midwestern city best known in popular culture as the hometown setting of the television series "Glee."
-
B.
Limaville, Ohio
Limaville, Ohio is a small unincorporated community and census-designated place located in northeastern Ohio within Stark County.
-
C.
Havana, Ohio
Havana, Ohio is a small unincorporated community located in Huron County in north-central Ohio.
-
D.
Dublin, Ohio
Dublin, Ohio is a suburban city northwest of Columbus known for its affluent neighborhoods, strong school system, and annual Dublin Irish Festival.
-
E.
Portsmouth, Ohio
Portsmouth, Ohio is a small city along the Ohio River historically known for its early NFL franchise, the Portsmouth Spartans, which later became the Detroit Lions.
- 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_69bd444426bc819099ccd23f141e22aa |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd782904788190b544540483915c0e |
completed | March 20, 2026, 4:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bfc834be9081909cd2a11e76ebd3c8 |
completed | March 22, 2026, 10:45 a.m. |
Created at: March 20, 2026, 1:42 p.m.