Triple
T15894696
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taifa of Alpuente |
E385422
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object |
Alpuente
Alpuente is a historic town in eastern Spain that once served as the political and administrative center of the medieval Taifa of Alpuente.
|
E1193573
|
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: Alpuente | Statement: [Taifa of Alpuente, capital, Alpuente]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alpuente Context triple: [Taifa of Alpuente, capital, Alpuente]
-
A.
Cabrils
Cabrils is a small municipality in the Maresme comarca of Catalonia, Spain, known for its residential character and proximity to the Mediterranean coast.
-
B.
Higuillar
Higuillar is a coastal barrio (district) of the municipality of Dorado in Puerto Rico, known for its beaches and residential communities.
-
C.
Fuentealbilla
Fuentealbilla is a small municipality in the province of Albacete, Spain, best known as the hometown of footballer Andrés Iniesta.
-
D.
Osuna
Osuna is a historic town in the province of Seville, Spain, known for its rich archaeological heritage, including notable ancient reliefs and other Roman-era remains.
-
E.
Cardeñosa
Cardeñosa is a small municipality in the province of Ávila, in the autonomous community of Castile and León, Spain.
- 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: Alpuente Triple: [Taifa of Alpuente, capital, Alpuente]
Generated description
Alpuente is a historic town in eastern Spain that once served as the political and administrative center of the medieval Taifa of Alpuente.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alpuente Target entity description: Alpuente is a historic town in eastern Spain that once served as the political and administrative center of the medieval Taifa of Alpuente.
-
A.
Cabrils
Cabrils is a small municipality in the Maresme comarca of Catalonia, Spain, known for its residential character and proximity to the Mediterranean coast.
-
B.
Higuillar
Higuillar is a coastal barrio (district) of the municipality of Dorado in Puerto Rico, known for its beaches and residential communities.
-
C.
Fuentealbilla
Fuentealbilla is a small municipality in the province of Albacete, Spain, best known as the hometown of footballer Andrés Iniesta.
-
D.
Osuna
Osuna is a historic town in the province of Seville, Spain, known for its rich archaeological heritage, including notable ancient reliefs and other Roman-era remains.
-
E.
Cardeñosa
Cardeñosa is a small municipality in the province of Ávila, in the autonomous community of Castile and León, Spain.
- 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_69d86da5b800819083a31be937d738b0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1563809748190a54156b946d3f061 |
completed | April 16, 2026, 9:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffe46b06688190a02fee3700efd709 |
completed | May 10, 2026, 1:50 a.m. |
| NEDg | Description generation | batch_69ffe87a898881909848233ef3d508d2 |
completed | May 10, 2026, 2:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffe8b3cdec8190b29de77b4fd3ae87 |
completed | May 10, 2026, 2:08 a.m. |
Created at: April 10, 2026, 4:51 a.m.