Triple
T30507294
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Atascadero City Hall |
E776307
|
entity |
| Predicate | founderOfTownAssociated |
P187740
|
FINISHED |
| Object | Edward Gardner Lewis |
—
|
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: Edward Gardner Lewis | Statement: [Atascadero City Hall, founderOfTownAssociated, Edward Gardner Lewis]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: founderOfTownAssociated Context triple: [Atascadero City Hall, founderOfTownAssociated, Edward Gardner Lewis]
-
A.
founderOfCityCommemorated
Indicates that the founder of a city is honored or memorialized, typically through monuments, names, or ceremonies associated with that city.
-
B.
associatedWithCityFoundedBy
Indicates a relationship where an entity is linked to the city that was founded by a specified person or group.
-
C.
townFoundedBy
chosen
Indicates that a town was established or created by a particular person, group, or organization.
-
D.
locatedInSettlementFoundedBy
Indicates that something is located in a settlement that was founded by a specified entity.
-
E.
historicalFounderAssociated
Indicates a relationship where an entity is connected to a historical founder, such as being established, inspired, or originally led by that founder.
- 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_69f2249a155c8190b1d512106007e9bb |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fd592e48cc81909d754cc6c4bd99ae |
completed | May 8, 2026, 3:31 a.m. |
| PD | Predicate disambiguation | batch_69fd58b7f9b881909dc099b28d567784 |
completed | May 8, 2026, 3:30 a.m. |
Created at: April 29, 2026, 8:15 p.m.