Triple
T20920708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bedford City Council |
E515197
|
entity |
| Predicate | meetsAt |
P373
|
FINISHED |
| Object | Bedford City Hall |
—
|
NE NERFINISHED |
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: Bedford City Hall | Statement: [Bedford City Council, meetsAt, Bedford City Hall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bedford City Hall Context triple: [Bedford City Council, meetsAt, Bedford City Hall]
-
A.
Bedford City Hall
chosen
Bedford City Hall is the central municipal government building serving the city of Bedford, Texas.
-
B.
Bedford Town Hall
Bedford Town Hall is the central municipal building that houses the local government offices and public meeting spaces for the Town of Bedford.
-
C.
Bedford Corn Exchange
Bedford Corn Exchange is a historic multi-purpose entertainment venue in Bedford, England, hosting theatre, music, and community events.
-
D.
Bethel Town Hall
Bethel Town Hall is the central municipal building in Bethel, Connecticut, housing the town’s government offices and administrative functions.
-
E.
Belmont Town Hall
Belmont Town Hall is the central municipal building in Belmont, Massachusetts, housing key town government offices and public meeting spaces.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4f9d5ec8190bb2bd27350ed341c |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6ec677338819081410cbaa2846260 |
completed | April 21, 2026, 3:17 a.m. |
Created at: April 16, 2026, 12:48 p.m.