Triple
T11405352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elmira River Sharks |
E270223
|
entity |
| Predicate | city |
P40
|
FINISHED |
| Object | Elmira |
E55187
|
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: Elmira | Statement: [Elmira River Sharks, city, Elmira]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elmira Context triple: [Elmira River Sharks, city, Elmira]
-
A.
Elmira
Elmira is a small unincorporated community and census-designated place in Northern California.
-
B.
Elmira, New York
chosen
Elmira, New York is a small city in upstate New York known historically as a transportation hub, Civil War prison camp site, and the longtime home and burial place of author Mark Twain.
-
C.
Hornell
Hornell is a small city in Steuben County, New York, historically known as a regional railroad hub in the state's Southern Tier.
-
D.
Owego
Owego is a village in upstate New York known for its historic downtown along the Susquehanna River and role as a local governmental and commercial center.
-
E.
Oneonta
Oneonta is a small city in central Alabama that serves as the county seat and primary population center of Blount County.
- 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_69d6aaddeaa8819088b30ef7b50598c9 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8014c820c81908538ba4a08e13230 |
completed | April 9, 2026, 7:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e684e29a6c8190910b1c6f717d6c5e |
completed | April 20, 2026, 7:56 p.m. |
Created at: April 8, 2026, 9:34 p.m.