Triple

T14270842
Position Surface form Disambiguated ID Type / Status
Subject Poblats Marítims E353777 entity
Predicate hasPart P35 FINISHED
Object Beteró
Beteró is a neighborhood in Valencia, Spain, located within the coastal district of Poblats Marítims.
E1088876 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: Beteró | Statement: [Poblats Marítims, hasPart, Beteró]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beteró
Context triple: [Poblats Marítims, hasPart, Beteró]
  • A. Borbera
    Borbera is a river in northwestern Italy that flows through the Piedmont region before joining the Tanaro.
  • B. Dobogó
    Dobogó is a neighborhood within Budapest’s 11th District, known primarily as an emerging urban area undergoing development on the city’s Buda side.
  • C. Bereina
    Bereina is a small town in Papua New Guinea’s Central Province, known primarily as a rural administrative and service center for surrounding villages.
  • D. Bäte
    Bäte is a German surname most notably borne by Oliver Bäte, the CEO of Allianz SE.
  • E. Barta'a
    Barta'a is a unique Arab village straddling the Green Line between Israel and the West Bank, known for its divided jurisdiction and bustling commercial center.
  • 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: Beteró
Triple: [Poblats Marítims, hasPart, Beteró]
Generated description
Beteró is a neighborhood in Valencia, Spain, located within the coastal district of Poblats Marítims.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Beteró
Target entity description: Beteró is a neighborhood in Valencia, Spain, located within the coastal district of Poblats Marítims.
  • A. Borbera
    Borbera is a river in northwestern Italy that flows through the Piedmont region before joining the Tanaro.
  • B. Dobogó
    Dobogó is a neighborhood within Budapest’s 11th District, known primarily as an emerging urban area undergoing development on the city’s Buda side.
  • C. Bereina
    Bereina is a small town in Papua New Guinea’s Central Province, known primarily as a rural administrative and service center for surrounding villages.
  • D. Bäte
    Bäte is a German surname most notably borne by Oliver Bäte, the CEO of Allianz SE.
  • E. Barta'a
    Barta'a is a unique Arab village straddling the Green Line between Israel and the West Bank, known for its divided jurisdiction and bustling commercial center.
  • 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_69d8278d25148190abf1a8c8f5f533ad completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de657fe6708190b41de48c43cff647 completed April 14, 2026, 4:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd326a5aec8190b139a0c49fd43705 completed May 8, 2026, 12:46 a.m.
NEDg Description generation batch_69fd333b49a88190834a5f45fa0fc6c2 completed May 8, 2026, 12:50 a.m.
NED2 Entity disambiguation (via description) batch_69fd33bdc8d08190be11f5ccf259cd6a completed May 8, 2026, 12:52 a.m.
Created at: April 10, 2026, 1:10 a.m.