Triple
T36982862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bellflower Unified School District |
E914878
|
entity |
| Predicate | servesPortionsOfCity |
P202171
|
FINISHED |
| Object | Lakewood, California |
—
|
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: Lakewood, California | Statement: [Bellflower Unified School District, servesPortionsOfCity, Lakewood, California]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servesPortionsOfCity Context triple: [Bellflower Unified School District, servesPortionsOfCity, Lakewood, California]
-
A.
fictionalCityServed
Indicates that a fictional city is served by a particular service, facility, or infrastructure (such as transport, utilities, or institutions).
-
B.
servesInlandCity
Indicates that an entity (such as a service, route, or facility) operates in or provides service to a city that is located inland rather than on a coast.
-
C.
servesCitySector
Indicates that an entity provides services or coverage to a specific sector or district within a city.
-
D.
servesPartOf
Indicates that one entity functions as a service or provider that operates within, or as a component of, another larger system or context.
-
E.
alternativeCityServed
Indicates that one city functions as an alternative service location for another city, typically in contexts like transportation or logistics.
- 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_69f76e8dd0408190b8b46da118ea5128 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a005be4615c8190a710ab704a46c564 |
completed | May 10, 2026, 10:20 a.m. |
| PD | Predicate disambiguation | batch_6a005b8b1cc08190850a392761b84e74 |
completed | May 10, 2026, 10:18 a.m. |
| PDg | Predicate description generation | batch_6a005be3afb481908a2a4646e41e1004 |
completed | May 10, 2026, 10:20 a.m. |
Created at: May 3, 2026, 4:14 p.m.