Triple
T9087762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Buenaventura |
E217801
|
entity |
| Predicate | foundingAsMissionTown |
P87113
|
FINISHED |
| Object | 1782 |
—
|
LITERAL 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: 1782 | Statement: [San Buenaventura, foundingAsMissionTown, 1782]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: foundingAsMissionTown Context triple: [San Buenaventura, foundingAsMissionTown, 1782]
-
A.
wasFoundedAsTown
Indicates that an entity came into existence specifically with the legal or formal status of a town.
-
B.
foundedAsCountySeat
Indicates that a place was originally established or designated to serve as the administrative center (county seat) of a county.
-
C.
colonyTypeFounded
Indicates the specific type or category of colony that was established in a founding event.
-
D.
colonyFounded
Indicates that an entity established or created a colony at a particular time or place.
-
E.
foundedAs
Indicates the original name or form under which an organization, institution, or entity was first established.
- 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_69ca83d8ab5881909d8fddae363b32b1 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc965646408190b041ab0e2d5dbc94 |
completed | April 1, 2026, 3:51 a.m. |
| PD | Predicate disambiguation | batch_69cc65fc7f408190a5846e29ab3b97e5 |
completed | April 1, 2026, 12:25 a.m. |
| PDg | Predicate description generation | batch_69cc6a3c78388190a7436acc0e44ff55 |
completed | April 1, 2026, 12:43 a.m. |
Created at: March 30, 2026, 7:13 p.m.