Triple
T1214094
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mono County |
E26068
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Bridgeport |
E255319
|
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: Bridgeport | Statement: [Mono County, contains, Bridgeport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bridgeport Context triple: [Mono County, contains, Bridgeport]
-
A.
Bridgeport
Bridgeport is a historic, working-class neighborhood on Chicago’s South Side known for its strong ethnic communities and proximity to the city’s major sports venues.
-
B.
Bridgeport
Bridgeport is a coastal industrial city in southwestern Connecticut known for its historic manufacturing base and diverse urban population.
-
C.
Bridgeport
chosen
Bridgeport is a small unincorporated community in California’s Eastern Sierra region, known for its historic courthouse, scenic high-altitude valley, and access to outdoor recreation such as fishing, hiking, and hot springs.
-
D.
West Haven
West Haven is a coastal city in southern Connecticut known for its public beaches and shoreline along Long Island Sound.
-
E.
Waterbury
Waterbury is a historic industrial city in western Connecticut known for its former prominence in brass manufacturing and its nickname "The Brass 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_69a4948331fc8190b531ac9bec71c491 |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4be024e448190ba263a0cc5cc9cd5 |
completed | March 1, 2026, 10:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae95d2a03881908433209da4af73a2 |
completed | March 9, 2026, 9:41 a.m. |
Created at: March 1, 2026, 7:46 p.m.