Triple
T12145689
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grove Street station |
E289311
|
entity |
| Predicate | servesMunicipality |
P3936
|
FINISHED |
| Object | Bloomfield |
unclear NED1
|
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: Bloomfield | Statement: [Grove Street station, servesMunicipality, Bloomfield]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bloomfield Context triple: [Grove Street station, servesMunicipality, Bloomfield]
-
A.
Bloomfield
Bloomfield is a small city in southeastern Iowa that serves as the county seat of Davis County.
-
B.
Bloomfield
Bloomfield is a suburban town in Hartford County, Connecticut, located just northwest of the city of Hartford.
-
C.
Bloomfield
Bloomfield is a surname of English origin borne by various notable individuals across fields such as music, politics, and academia.
-
D.
Bloomfield
Bloomfield is a small city located in Nelson County, Kentucky, known for its rural character and historic charm.
-
E.
Bensonville
Bensonville is a town in Liberia that serves as the administrative center of Montserrado County.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69d6ab4c6710819097a9d228382dde43 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915ac2ebc81909155f9b2fb4a2252 |
completed | April 10, 2026, 3:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60a7e24ac819083e85fb8edb2ed2c |
completed | May 2, 2026, 2:30 p.m. |
Created at: April 8, 2026, 9:49 p.m.