Triple
T6154569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toledo Zoo |
E137286
|
entity |
| Predicate | ownedBy |
P347
|
FINISHED |
| Object | City of Toledo |
E25661
|
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: City of Toledo | Statement: [Toledo Zoo, ownedBy, City of Toledo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: City of Toledo Context triple: [Toledo Zoo, ownedBy, City of Toledo]
-
A.
Toledo City
Toledo City is a coastal component city on the western side of Cebu Island in the Philippines, known for its mining industry and port facilities.
-
B.
Toledo
Toledo is a historic Spanish city renowned for its medieval architecture, cultural heritage, and role as a major political and religious center in Spain’s history.
-
C.
Toledo
chosen
Toledo is a major city in northwestern Ohio, known as an industrial and transportation hub on the western end of Lake Erie.
-
D.
Ohio City
Ohio City is a historic and revitalized neighborhood on Cleveland’s near west side, known for its vibrant dining scene, craft breweries, and cultural landmarks.
-
E.
Canton, Ohio
Canton, Ohio is a mid-sized city in northeastern Ohio known for its industrial heritage and as the home of the Pro Football Hall of Fame.
- 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_69c008a45d008190832a9e19f5d63406 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05d01ddb0819085b5f5338b86a25d |
completed | March 22, 2026, 9:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c20d6eefa88190ae55dab8b4ebe06d |
completed | March 24, 2026, 4:05 a.m. |
Created at: March 22, 2026, 4:17 p.m.