Triple
T13908540
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Cuenca |
E334423
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Tarancón
Tarancón is a historic market town and important transport hub in central Spain’s Castilla-La Mancha region.
|
E1122824
|
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: Tarancón | Statement: [Province of Cuenca, hasMunicipality, Tarancón]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tarancón Context triple: [Province of Cuenca, hasMunicipality, Tarancón]
-
A.
Ayamonte
Ayamonte is a Spanish border town in the province of Huelva, Andalusia, situated at the mouth of the Guadiana River opposite Portugal.
-
B.
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.
-
C.
Calahorra
Calahorra is a historic city in northern Spain known for its Roman heritage and role as an agricultural and commercial center in the region of La Rioja.
-
D.
Alquézar
Alquézar is a historic hilltop village in northeastern Spain renowned for its medieval architecture and dramatic setting above the Vero River canyon.
-
E.
Almendralejo
Almendralejo is a town in the Spanish region of Extremadura known for its wine production and agricultural economy.
- 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: Tarancón Triple: [Province of Cuenca, hasMunicipality, Tarancón]
Generated description
Tarancón is a historic market town and important transport hub in central Spain’s Castilla-La Mancha region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tarancón Target entity description: Tarancón is a historic market town and important transport hub in central Spain’s Castilla-La Mancha region.
-
A.
Ayamonte
Ayamonte is a Spanish border town in the province of Huelva, Andalusia, situated at the mouth of the Guadiana River opposite Portugal.
-
B.
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.
-
C.
Calahorra
Calahorra is a historic city in northern Spain known for its Roman heritage and role as an agricultural and commercial center in the region of La Rioja.
-
D.
Alquézar
Alquézar is a historic hilltop village in northeastern Spain renowned for its medieval architecture and dramatic setting above the Vero River canyon.
-
E.
Almendralejo
Almendralejo is a town in the Spanish region of Extremadura known for its wine production and agricultural economy.
- 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_69d81c5eaa9c819083b1ff8689179565 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2721ec6c8190888f4a9d004eb8e0 |
completed | April 14, 2026, 11:38 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe387c02108190badf9b5051cd9c7a |
completed | May 8, 2026, 7:24 p.m. |
| NEDg | Description generation | batch_69fe3df36364819081a7275b2ac604a6 |
completed | May 8, 2026, 7:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe3e4c9cd08190b83fd437fa96297d |
completed | May 8, 2026, 7:49 p.m. |
Created at: April 9, 2026, 10:16 p.m.