Triple
T10142208
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yuste |
E231611
|
entity |
| Predicate | nearbyCity |
P350
|
FINISHED |
| Object | Plasencia |
E221175
|
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: Plasencia | Statement: [Yuste, nearbyCity, Plasencia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Plasencia Context triple: [Yuste, nearbyCity, Plasencia]
-
A.
Plasencia
chosen
Plasencia is a historic city in the Extremadura region of western Spain, known for its well-preserved medieval walls, cathedral complex, and role as a regional cultural and commercial center.
-
B.
Santiago de Palos
Santiago de Palos was one of the ships in Christopher Columbus’s fourth and final voyage to the Americas in the early 16th century.
-
C.
Caseres
Caseres is a small rural municipality located in the Terra Alta comarca of Catalonia, Spain, known for its agricultural landscape and traditional village character.
-
D.
San Javier
San Javier is a town in the Mexican state of Baja California Sur, known for its historic mission and role as a regional cultural and religious center.
-
E.
San Javier
San Javier is a municipality in Spain’s Region of Murcia, known for hosting the Spanish Air and Space Force’s main officer training academy and its nearby coastal and lagoon areas on the Mar Menor.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca848364f881908a24366a6feec1db |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cdeb2599e0819090184631e481310c |
completed | April 2, 2026, 4:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2e60e51488190a6097837eb3ce18a |
completed | April 5, 2026, 10:45 p.m. |
Created at: March 30, 2026, 9:07 p.m.