Triple
T37645715
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richmond Street Elementary School |
E937030
|
entity |
| Predicate | coastalCityServed |
P79495
|
FINISHED |
| Object | El Segundo |
—
|
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: El Segundo | Statement: [Richmond Street Elementary School, coastalCityServed, El Segundo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coastalCityServed Context triple: [Richmond Street Elementary School, coastalCityServed, El Segundo]
-
A.
associatedCityServed
Indicates that there is a relationship where a service, facility, or entity is linked to and serves a particular city.
-
B.
alternativeCityServed
Indicates that one city functions as an alternative service location for another city, typically in contexts like transportation or logistics.
-
C.
servesCoastalCity
chosen
Indicates that one entity provides transportation, services, or support to a city located on or near a coast.
-
D.
modernCityServed
Indicates that a modern city receives services, support, or functions (such as transportation, utilities, or administration) from a specified provider or infrastructure.
-
E.
fictionalCityServed
Indicates that a fictional city is served by a particular service, facility, or infrastructure (such as transport, utilities, or institutions).
- 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_69f76ed4fe908190b8061c5c135e0971 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbaa1321b48190af92a3e7ec24ec5b |
completed | May 6, 2026, 8:52 p.m. |
| PD | Predicate disambiguation | batch_69fba8860f98819080b7bab05837b974 |
completed | May 6, 2026, 8:45 p.m. |
Created at: May 3, 2026, 4:18 p.m.