Triple
T13603752
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Concord Pavilion |
E325006
|
entity |
| Predicate | owner |
P347
|
FINISHED |
| Object | City of Concord |
E156750
|
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 of Concord | Statement: [Concord Pavilion, owner, City of Concord]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: City of Concord Context triple: [Concord Pavilion, owner, City of Concord]
-
A.
Concord
chosen
Concord is a suburban city in California’s East Bay region known as a residential and commercial hub within the greater San Francisco Bay Area.
-
B.
Concord
Concord is a growing suburban city in North Carolina that forms part of the greater Charlotte metropolitan area.
-
C.
Concord
Concord is a suburban neighbourhood within the city of Vaughan in Ontario, Canada, known for its mix of industrial, commercial, and residential areas.
-
D.
Concord
Concord is the capital city of the U.S. state of New Hampshire, known for its historic role in American politics and its location along the Merrimack River.
-
E.
Concord
Concord is a residential and commercial district within the town of Washington in Tyne and Wear, England.
- 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_69d80769eaf081909d82f44e484d6113 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb07ca07481909c45da551ea61ab4 |
completed | April 12, 2026, 2:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f78ae394748190b6a0f9a085b7dea6 |
completed | May 3, 2026, 5:50 p.m. |
Created at: April 9, 2026, 9:49 p.m.