Triple
T7710834
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Upland |
E174745
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Montclair |
E863043
|
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: Montclair | Statement: [Upland, adjacentTo, Montclair]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Montclair Context triple: [Upland, adjacentTo, Montclair]
-
A.
Montclair
chosen
Montclair is a city in southwestern San Bernardino County, California, located in the Pomona Valley region of the Greater Los Angeles area.
-
B.
Montclair
Montclair is a residential, hillside neighborhood in Oakland, California, known for its wooded canyons, winding streets, and small village-style commercial district.
-
C.
Montclair, New Jersey
Montclair, New Jersey is a suburban township in Essex County known for its vibrant arts scene, diverse community, and historic residential neighborhoods.
-
D.
Hackensack
Hackensack were a Lenape Native American group from the region of present-day northern New Jersey, known for their involvement in early 17th-century conflicts with Dutch colonists.
-
E.
Berkeley Heights, New Jersey
Berkeley Heights, New Jersey is a suburban township in Union County known for its residential neighborhoods, strong public schools, and proximity to New York 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_69c6995b3e8c8190833108f883d5f53c |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c702ad6b788190892b96ab523d111f |
completed | March 27, 2026, 10:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dbac7a42348190a86fa5a97e3d36ca |
completed | April 12, 2026, 2:30 p.m. |
Created at: March 27, 2026, 4:04 p.m.