Triple
T25019096
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goliad, Texas |
E626522
|
entity |
| Predicate | originalSpanishNameNearbyMission |
P61285
|
FINISHED |
| Object | Mission Nuestra Señora del Espíritu Santo de Zúñiga |
—
|
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: Mission Nuestra Señora del Espíritu Santo de Zúñiga | Statement: [Goliad, Texas, originalSpanishNameNearbyMission, Mission Nuestra Señora del Espíritu Santo de Zúñiga]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalSpanishNameNearbyMission Context triple: [Goliad, Texas, originalSpanishNameNearbyMission, Mission Nuestra Señora del Espíritu Santo de Zúñiga]
-
A.
hasNameInSpanish
Indicates that an entity is associated with a specific name expressed in the Spanish language.
-
B.
officialNameInSpanish
Indicates the officially recognized name of an entity when expressed in the Spanish language.
-
C.
nearbyMissionsInstanceOf
Indicates that one mission instance is of a type or class that is considered a nearby or spatially related mission relative to another.
-
D.
historicalNameInSpanish
chosen
Indicates that an entity is known or referred to by a particular historical name when expressed in the Spanish language.
-
E.
hasNamesakeMission
Indicates that one entity has a mission named after it or sharing its name.
- 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_69f67f0488bc819089fbd2d2478158d3 |
completed | May 2, 2026, 10:47 p.m. |
| PD | Predicate disambiguation | batch_69f67e3ed894819094c067c1ef624951 |
completed | May 2, 2026, 10:44 p.m. |
Created at: April 18, 2026, 6:06 a.m.