Triple
T20672042
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FNB Field |
E508051
|
entity |
| Predicate | location |
P40
|
FINISHED |
| Object | City Island |
E1178526
|
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 Island | Statement: [FNB Field, location, City Island]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: City Island Context triple: [FNB Field, location, City Island]
-
A.
City Island
City Island is a small, historic seaside neighborhood in New York City known for its maritime heritage, seafood restaurants, and village-like atmosphere.
-
B.
City Island
chosen
City Island is a small recreational island in the Susquehanna River in Harrisburg, Pennsylvania, known for its sports facilities, parks, and family attractions.
-
C.
The Toast of New York
The Toast of New York is a 1937 American historical drama film set in the post–Civil War era, known for its portrayal of financier Jim Fisk and featuring Frances Farmer in a prominent role.
-
D.
The Atlantic City Story
The Atlantic City Story is an independent drama film featuring Mike Faist in a prominent role.
-
E.
Vanity Row
"Vanity Row" is a hardboiled crime novel by W. R. Burnett, known for its gritty portrayal of political corruption and underworld intrigue in an American city.
- 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_69e0b4c1164881909a3bf1e3ddb2bc32 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6b5cb1fc88190805f623e93a70368 |
completed | April 20, 2026, 11:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08cd66b6b88190a863948cb31c9af7 |
completed | May 16, 2026, 8:02 p.m. |
Created at: April 16, 2026, 11:44 a.m.