Triple
T29117384
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bonita, California |
E737083
|
entity |
| Predicate | postalCityNamesUsed |
P58620
|
FINISHED |
| Object | Bonita |
—
|
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: Bonita | Statement: [Bonita, California, postalCityNamesUsed, Bonita]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: postalCityNamesUsed Context triple: [Bonita, California, postalCityNamesUsed, Bonita]
-
A.
postalName
chosen
Indicates the standardized name or label used for addressing and postal purposes associated with an entity.
-
B.
principalCityOf
Indicates that a city serves as the main or most important city (often administrative, economic, or cultural center) of a specified region or area.
-
C.
mainCities
Indicates that the related entities are the primary or most important cities associated with a given region, country, or area.
-
D.
primaryCity
Indicates that one city serves as the main or most important city associated with a given region, entity, or context.
-
E.
cityName
Indicates that the associated value is the name of a city.
- F. None of above.
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_69f077ed54e08190bb02a744e8121a66 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f661f1378c8190aa0ffc365dfb589f |
completed | May 2, 2026, 8:43 p.m. |
| PD | Predicate disambiguation | batch_69f660f082508190a95a7888ad66cb2e |
completed | May 2, 2026, 8:39 p.m. |
Created at: April 28, 2026, 11:23 a.m.