Triple
T25019095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goliad, Texas |
E626522
|
entity |
| Predicate | originalSpanishNameNearbyPresidio |
P61285
|
FINISHED |
| Object | Presidio Nuestra Señora de Loreto de Bahía |
—
|
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: Presidio Nuestra Señora de Loreto de Bahía | Statement: [Goliad, Texas, originalSpanishNameNearbyPresidio, Presidio Nuestra Señora de Loreto de Bahía]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalSpanishNameNearbyPresidio Context triple: [Goliad, Texas, originalSpanishNameNearbyPresidio, Presidio Nuestra Señora de Loreto de Bahía]
-
A.
historicalNameInSpanish
chosen
Indicates that an entity is known or referred to by a particular historical name when expressed in the Spanish language.
-
B.
officialNameInSpanish
Indicates the officially recognized name of an entity when expressed in the Spanish language.
-
C.
hasNameInSpanish
Indicates that an entity is associated with a specific name expressed in the Spanish language.
-
D.
establishedAsSpanishTerritory
Indicates that an entity was formally designated or recognized as territory under Spanish control or sovereignty.
-
E.
Mission San Esteban del ReyInstanceOf
Indicates that Mission San Esteban del Rey is classified as a specific example or member of a broader category or type.
- 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_69e2ff28ee3881909c626af002457a4a |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f67c9fe7b48190b79b4041357edb49 |
completed | May 2, 2026, 10:37 p.m. |
| PD | Predicate disambiguation | batch_69f678cc272081909e5c70f1bc7407f0 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 18, 2026, 6:06 a.m.