Triple

T30408537
Position Surface form Disambiguated ID Type / Status
Subject San Vicente del Raspeig E773544 entity
Predicate hasNeighbouringMunicipality P224 FINISHED
Object Monforte del Cid
Monforte del Cid is a municipality in the province of Alicante, Spain, known for its wine production and location in the Vinalopó valley.
E1919884 NE FINISHED

How this triple was built (2 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: Monforte del Cid | Statement: [San Vicente del Raspeig, hasNeighbouringMunicipality, Monforte del Cid]
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: Monforte del Cid
Triple: [San Vicente del Raspeig, hasNeighbouringMunicipality, Monforte del Cid]
Generated description
Monforte del Cid is a municipality in the province of Alicante, Spain, known for its wine production and location in the Vinalopó valley.

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_69f22490b8b48190ab10c886a8d58c89 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f68621f9fc81908af56eb9716cbef9 completed May 2, 2026, 11:17 p.m.
NED1 Entity disambiguation (via context triple) batch_6a27be5bc4f481908515eee7dae77cfb completed June 9, 2026, 7:18 a.m.
NEDg Description generation batch_6a27bf245d708190bcd30e6372a0416b completed June 9, 2026, 7:22 a.m.
NED2 Entity disambiguation (via description) batch_6a27bf8647ec8190887eb7d3683759b6 completed June 9, 2026, 7:23 a.m.
Created at: April 29, 2026, 8:04 p.m.