Triple
T3181755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jaén (province) |
E66602
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Mengíbar
Mengíbar is a town and municipality in the province of Jaén in Andalusia, southern Spain, known for its olive oil production and historical heritage.
|
E333257
|
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: Mengíbar | Statement: [Jaén (province), contains, Mengíbar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mengíbar Context triple: [Jaén (province), contains, Mengíbar]
-
A.
Barú
Barú is a prominent stratovolcano in western Panama, known as the country’s highest peak and a key feature of the Central American volcanic landscape.
-
B.
Munxar
Munxar is a small village on the island of Gozo in Malta, known for its rural character and scenic coastal surroundings.
-
C.
Haldia
Haldia is an industrial port city in eastern India known for its petrochemical complexes and role as a major river port on the Hooghly River.
-
D.
Gauda
Gauda was a historic region in eastern India, centered in present-day West Bengal and Bangladesh, that served as an important political and cultural center in early medieval times.
-
E.
Märsta
Märsta is a town in Stockholm County, Sweden, known as a residential and transport hub near Stockholm Arlanda Airport.
- 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: Mengíbar Triple: [Jaén (province), contains, Mengíbar]
Generated description
Mengíbar is a town and municipality in the province of Jaén in Andalusia, southern Spain, known for its olive oil production and historical heritage.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mengíbar Target entity description: Mengíbar is a town and municipality in the province of Jaén in Andalusia, southern Spain, known for its olive oil production and historical heritage.
-
A.
Barú
Barú is a prominent stratovolcano in western Panama, known as the country’s highest peak and a key feature of the Central American volcanic landscape.
-
B.
Munxar
Munxar is a small village on the island of Gozo in Malta, known for its rural character and scenic coastal surroundings.
-
C.
Haldia
Haldia is an industrial port city in eastern India known for its petrochemical complexes and role as a major river port on the Hooghly River.
-
D.
Gauda
Gauda was a historic region in eastern India, centered in present-day West Bengal and Bangladesh, that served as an important political and cultural center in early medieval times.
-
E.
Märsta
Märsta is a town in Stockholm County, Sweden, known as a residential and transport hub near Stockholm Arlanda Airport.
- 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_69ad8587c1bc8190a2595f2c22ee1001 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada6bd07888190b680eace8290d821 |
completed | March 8, 2026, 4:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b235fd1688819080fa1d73d2b233ba |
completed | March 12, 2026, 3:41 a.m. |
| NEDg | Description generation | batch_69b236e61ae88190a76b942c6cddff41 |
completed | March 12, 2026, 3:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b23770ed4c8190b5d929cc95a286a0 |
completed | March 12, 2026, 3:48 a.m. |
Created at: March 8, 2026, 3:06 p.m.