Triple
T9179163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tierra de Barros |
E220275
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Almendralejo
Almendralejo is a town in the Spanish region of Extremadura known for its wine production and agricultural economy.
|
E792335
|
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: Almendralejo | Statement: [Tierra de Barros, hasCity, Almendralejo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Almendralejo Context triple: [Tierra de Barros, hasCity, Almendralejo]
-
A.
Berruecos
Berruecos is a locality in southwestern Colombia historically known as the site where independence leader Antonio José de Sucre was assassinated in 1830.
-
B.
Illescas
Illescas is a historic town and municipality in central Spain, known for its traditional architecture and location between Madrid and Toledo.
-
C.
Peñaranda
Peñaranda is a municipality in the Philippine province of Nueva Ecija, known for its agricultural economy and local cultural traditions.
-
D.
Brihuega
Brihuega is a historic town in central Spain’s Castilla-La Mancha region, renowned for its medieval architecture and extensive lavender fields.
-
E.
Valverde de la Vera
Valverde de la Vera is a historic village in the province of Cáceres, Extremadura, Spain, known for its traditional architecture and scenic setting in the La Vera region.
- 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: Almendralejo Triple: [Tierra de Barros, hasCity, Almendralejo]
Generated description
Almendralejo is a town in the Spanish region of Extremadura known for its wine production and agricultural economy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Almendralejo Target entity description: Almendralejo is a town in the Spanish region of Extremadura known for its wine production and agricultural economy.
-
A.
Berruecos
Berruecos is a locality in southwestern Colombia historically known as the site where independence leader Antonio José de Sucre was assassinated in 1830.
-
B.
Illescas
Illescas is a historic town and municipality in central Spain, known for its traditional architecture and location between Madrid and Toledo.
-
C.
Peñaranda
Peñaranda is a municipality in the Philippine province of Nueva Ecija, known for its agricultural economy and local cultural traditions.
-
D.
Brihuega
Brihuega is a historic town in central Spain’s Castilla-La Mancha region, renowned for its medieval architecture and extensive lavender fields.
-
E.
Valverde de la Vera
Valverde de la Vera is a historic village in the province of Cáceres, Extremadura, Spain, known for its traditional architecture and scenic setting in the La Vera region.
- 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_69ca83e589948190ac9907819db11ddf |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccc25064588190856c96b229d9cd60 |
completed | April 1, 2026, 6:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0e32f4bcc8190902aa5e02cc051d9 |
completed | April 4, 2026, 10:08 a.m. |
| NEDg | Description generation | batch_69d0e502b68081909a9f9476421ba9b5 |
completed | April 4, 2026, 10:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d0e5af7360819096c6295de0ce5f32 |
completed | April 4, 2026, 10:19 a.m. |
Created at: March 30, 2026, 7:23 p.m.