Triple
T16038901
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Massachusetts Avenue |
E389040
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Concord |
E367754
|
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: Concord | Statement: [Massachusetts Avenue, locatedIn, Concord]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Concord Context triple: [Massachusetts Avenue, locatedIn, Concord]
-
A.
Concord
Concord is a suburban neighbourhood within the city of Vaughan in Ontario, Canada, known for its mix of industrial, commercial, and residential areas.
-
B.
Concord
Concord is a residential and commercial district within the town of Washington in Tyne and Wear, England.
-
C.
Concord
Concord is a category of the Prince of Asturias Awards that honors individuals or organizations for their outstanding contributions to peace, understanding, and harmony among people.
-
D.
Concord
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.
-
E.
Concord
chosen
Concord is a historic New England town in eastern Massachusetts known for its pivotal role in the American Revolutionary War and its association with prominent 19th-century literary figures.
- 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_69d86dada3808190825d5f80d72fbe88 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1833eb90c8190b10dca3ce0793ddf |
completed | April 17, 2026, 12:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffe474f89c819086db832b793c15ed |
completed | May 10, 2026, 1:50 a.m. |
Created at: April 10, 2026, 4:56 a.m.