Triple
T6074684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teruel province |
E135370
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Calamocha
Calamocha is a municipality in the autonomous community of Aragon in northeastern Spain, known for its agricultural economy and notably cold winter temperatures.
|
E566576
|
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: Calamocha | Statement: [Teruel province, contains, Calamocha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Calamocha Context triple: [Teruel province, contains, Calamocha]
-
A.
Cogua
Cogua is a municipality in the Cundinamarca Department of Colombia, located on the Bogotá savanna north of the capital.
-
B.
Valle Anzasca
Valle Anzasca is a valley in the Italian Alps of Piedmont, known for its scenic mountain landscapes and traditional alpine villages.
-
C.
Cieneguilla
Cieneguilla is a semi-rural district in the eastern part of Lima, Peru, known for its natural landscapes, country houses, and outdoor recreation areas.
-
D.
Bohigas
Bohigas is a Spanish architect, notably associated with major urban and sports venue projects in Barcelona.
-
E.
Valle Grande
Valle Grande is a vast high-altitude volcanic caldera meadow in northern New Mexico, renowned for its scenic landscapes, wildlife, and geothermal features.
- 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: Calamocha Triple: [Teruel province, contains, Calamocha]
Generated description
Calamocha is a municipality in the autonomous community of Aragon in northeastern Spain, known for its agricultural economy and notably cold winter temperatures.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Calamocha Target entity description: Calamocha is a municipality in the autonomous community of Aragon in northeastern Spain, known for its agricultural economy and notably cold winter temperatures.
-
A.
Cogua
Cogua is a municipality in the Cundinamarca Department of Colombia, located on the Bogotá savanna north of the capital.
-
B.
Valle Anzasca
Valle Anzasca is a valley in the Italian Alps of Piedmont, known for its scenic mountain landscapes and traditional alpine villages.
-
C.
Cieneguilla
Cieneguilla is a semi-rural district in the eastern part of Lima, Peru, known for its natural landscapes, country houses, and outdoor recreation areas.
-
D.
Bohigas
Bohigas is a Spanish architect, notably associated with major urban and sports venue projects in Barcelona.
-
E.
Valle Grande
Valle Grande is a vast high-altitude volcanic caldera meadow in northern New Mexico, renowned for its scenic landscapes, wildlife, and geothermal features.
- 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_69c00879e8048190b690717d19c5bc03 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c0575d4ed481908eddc88e9b90e22f |
completed | March 22, 2026, 8:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c11d3fb99481909cc31c179eb4e8c9 |
completed | March 23, 2026, 11 a.m. |
| NEDg | Description generation | batch_69c11e89c75481908381df126a7b1661 |
completed | March 23, 2026, 11:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c11ef6971c8190b8dde5568b330b41 |
completed | March 23, 2026, 11:07 a.m. |
Created at: March 22, 2026, 4:11 p.m.