Triple
T9522343
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Almería |
E229672
|
entity |
| Predicate | hasMunicipalities |
P747
|
FINISHED |
| Object |
El Ejido
El Ejido is a major agricultural town in southeastern Spain, renowned for its extensive greenhouse farming and intensive fruit and vegetable production.
|
E828881
|
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: El Ejido | Statement: [Province of Almería, hasMunicipalities, El Ejido]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: El Ejido Context triple: [Province of Almería, hasMunicipalities, El Ejido]
-
A.
Almeria
Almeria is a coastal municipality on Biliran Island in the Philippines known for its scenic beaches and rural landscapes.
-
B.
Zagora
Zagora is a traditional mountain village in eastern Pelion, Greece, known for its stone-built houses, rich history, and views over the Aegean Sea.
-
C.
Zagora
Zagora is a town in southeastern Morocco that serves as a gateway to the Sahara Desert and popular nearby dune fields.
-
D.
Guadix
Guadix is a historic Andalusian town in southern Spain, noted for its cave dwellings and impressive cathedral set against the Sierra Nevada foothills.
-
E.
Almería
Almería is a coastal city and province in southeastern Spain known for its arid climate, historic Alcazaba fortress, and extensive greenhouse agriculture.
- 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: El Ejido Triple: [Province of Almería, hasMunicipalities, El Ejido]
Generated description
El Ejido is a major agricultural town in southeastern Spain, renowned for its extensive greenhouse farming and intensive fruit and vegetable production.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: El Ejido Target entity description: El Ejido is a major agricultural town in southeastern Spain, renowned for its extensive greenhouse farming and intensive fruit and vegetable production.
-
A.
Almeria
Almeria is a coastal municipality on Biliran Island in the Philippines known for its scenic beaches and rural landscapes.
-
B.
Zagora
Zagora is a traditional mountain village in eastern Pelion, Greece, known for its stone-built houses, rich history, and views over the Aegean Sea.
-
C.
Zagora
Zagora is a town in southeastern Morocco that serves as a gateway to the Sahara Desert and popular nearby dune fields.
-
D.
Guadix
Guadix is a historic Andalusian town in southern Spain, noted for its cave dwellings and impressive cathedral set against the Sierra Nevada foothills.
-
E.
Almería
Almería is a coastal city and province in southeastern Spain known for its arid climate, historic Alcazaba fortress, and extensive greenhouse agriculture.
- 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_69ca847870a881909d8d751a7d29da39 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd989788e4819086c235bf37a56b04 |
completed | April 1, 2026, 10:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d20cbe7fb88190a945870540d4c973 |
completed | April 5, 2026, 7:18 a.m. |
| NEDg | Description generation | batch_69d20f2aa6588190b842641d41f6179a |
completed | April 5, 2026, 7:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d20f7c328c8190a58ad56e9e63cba0 |
completed | April 5, 2026, 7:30 a.m. |
Created at: March 30, 2026, 7:59 p.m.