Triple
T9116401
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | City of Montclair |
E218728
|
entity |
| Predicate | isInlandEmpireCity |
P87185
|
FINISHED |
| Object | true |
—
|
LITERAL 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: true | Statement: [City of Montclair, isInlandEmpireCity, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isInlandEmpireCity Context triple: [City of Montclair, isInlandEmpireCity, true]
-
A.
isInlandCity
Indicates that a city is located away from the coast, without direct access to the sea or ocean.
-
B.
isInCity
Indicates that one entity is located within the geographical boundaries of a specified city.
-
C.
isInNorthernOrSouthernCalifornia
Indicates that an entity is located within either the northern or southern region of California.
-
D.
isCityOf
Indicates that one entity is a city that belongs to, is located within, or is administratively part of another entity (such as a country, state, or region).
-
E.
populationRankInInlandEmpire
Indicates the relative position of an entity’s population size compared to other entities within the Inland Empire region.
- F. None of above. chosen
Provenance (4 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_69ca83dc94ac8190b9ef42684d36ff39 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca8a4c9e08190ba3603a5d00afb20 |
completed | April 1, 2026, 5:09 a.m. |
| PD | Predicate disambiguation | batch_69cc66003e3c819091e1e42c9cf7c781 |
completed | April 1, 2026, 12:25 a.m. |
| PDg | Predicate description generation | batch_69cc6a3c78388190a7436acc0e44ff55 |
completed | April 1, 2026, 12:43 a.m. |
Created at: March 30, 2026, 7:17 p.m.