Triple
T4120413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Duke of Escalona |
E92597
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object |
Escalona
Escalona is a historic Spanish town whose name is associated with the noble title of Duke of Escalona.
|
E418116
|
NE FINISHED |
How this triple was built (4 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: Escalona | Statement: [Duke of Escalona, namedAfter, Escalona]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Escalona Context triple: [Duke of Escalona, namedAfter, Escalona]
-
A.
Cullera
Cullera is a coastal town in eastern Spain known for its Mediterranean beaches, historic castle, and location at the mouth of the Júcar River.
-
B.
Santpedor
Santpedor is a small town in Catalonia, Spain, best known internationally as the birthplace of football manager Pep Guardiola.
-
C.
Baeza
Baeza is a historic Andalusian town in southern Spain renowned for its well-preserved Renaissance architecture and status as a UNESCO World Heritage Site.
-
D.
Yuste
Yuste is a locality in the Extremadura region of western Spain, best known as the retreat where Holy Roman Emperor Charles V spent his final years at the nearby Monastery of Yuste.
-
E.
Gironella
Gironella is a small municipality in Catalonia, Spain, known for its historic textile industry and location along the Llobregat River.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Escalona Triple: [Duke of Escalona, namedAfter, Escalona]
Generated description
Escalona is a historic Spanish town whose name is associated with the noble title of Duke of Escalona.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Escalona Target entity description: Escalona is a historic Spanish town whose name is associated with the noble title of Duke of Escalona.
-
A.
Cullera
Cullera is a coastal town in eastern Spain known for its Mediterranean beaches, historic castle, and location at the mouth of the Júcar River.
-
B.
Santpedor
Santpedor is a small town in Catalonia, Spain, best known internationally as the birthplace of football manager Pep Guardiola.
-
C.
Baeza
Baeza is a historic Andalusian town in southern Spain renowned for its well-preserved Renaissance architecture and status as a UNESCO World Heritage Site.
-
D.
Yuste
Yuste is a locality in the Extremadura region of western Spain, best known as the retreat where Holy Roman Emperor Charles V spent his final years at the nearby Monastery of Yuste.
-
E.
Gironella
Gironella is a small municipality in Catalonia, Spain, known for its historic textile industry and location along the Llobregat River.
- F. None of above. chosen
Provenance (5 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_69aed9685f70819086932777aec8d959 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69af0203b8c88190b08dd64800a37168 |
completed | March 9, 2026, 5:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b57f22e2bc8190a99df0863cf6b2bf |
completed | March 14, 2026, 3:30 p.m. |
| NEDg | Description generation | batch_69b57fcd3d60819086ab5ad7b69242a2 |
completed | March 14, 2026, 3:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5803ec2088190ac9d4b3d34278e17 |
completed | March 14, 2026, 3:35 p.m. |
Created at: March 9, 2026, 3:41 p.m.