Triple
T38161658
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | City of Fullerton |
E953031
|
entity |
| Predicate | governsDistrict |
P37549
|
FINISHED |
| Object | historic downtown Fullerton |
E283380
|
NE 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: historic downtown Fullerton | Statement: [City of Fullerton, governsDistrict, historic downtown Fullerton]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: governsDistrict Context triple: [City of Fullerton, governsDistrict, historic downtown Fullerton]
-
A.
governorateOrDistrict
chosen
Indicates that one administrative region is a governorate or district that encompasses, governs, or is otherwise the primary subnational division for another area or locality.
-
B.
servesGovernmentDistrict
Indicates that an entity provides official services or representation to a specific government district.
-
C.
servedDistrict
Indicates that an entity has provided official service or representation to a particular district.
-
D.
governmentalDistrictOf
Indicates that a governmental district is the administrative district to which a given entity belongs or in which it is located.
-
E.
districtOfState
Indicates that a district is an administrative subdivision belonging to, and located within, a particular state.
- F. None of above.
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_69f76f0b93c48190a117319ab3a9f282 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a037df1223c8190a5d61e4f8e6fd613 |
completed | May 12, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a41713b51dc819094d271009baf1767 |
completed | June 28, 2026, 7:08 p.m. |
| PD | Predicate disambiguation | batch_6a037a1ad6c48190bfe35d350c1b4751 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:21 p.m.