Triple

T14138900
Position Surface form Disambiguated ID Type / Status
Subject Manises E350369 entity
Predicate hasDemonym P191 FINISHED
Object manisero
A manisero is a resident or native of Manises, a municipality in the province of Valencia, Spain.
E1082459 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: manisero | Statement: [Manises, hasDemonym, manisero]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: manisero
Context triple: [Manises, hasDemonym, manisero]
  • A. Manod
    Manod is a small village in Gwynedd, Wales, situated near the former slate-mining town of Blaenau Ffestiniog in the historic county of Merionethshire.
  • B. maneaba
    A maneaba is a large traditional communal meeting house central to social, political, and ceremonial life in Kiribati communities.
  • C. Manf
    Manf is the Arabic name for the ancient Egyptian city of Memphis, a historically significant capital near modern-day Cairo.
  • D. manaca
    manaca is a rechargeable contactless smart card used for public transportation and electronic payments in the Nagoya area of Japan.
  • E. Manji
    Manji is a 1964 Japanese drama film, directed by Yasuzō Masumura and starring Ayako Wakao, that explores obsessive love and psychological turmoil.
  • 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: manisero
Triple: [Manises, hasDemonym, manisero]
Generated description
A manisero is a resident or native of Manises, a municipality in the province of Valencia, Spain.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: manisero
Target entity description: A manisero is a resident or native of Manises, a municipality in the province of Valencia, Spain.
  • A. Manod
    Manod is a small village in Gwynedd, Wales, situated near the former slate-mining town of Blaenau Ffestiniog in the historic county of Merionethshire.
  • B. maneaba
    A maneaba is a large traditional communal meeting house central to social, political, and ceremonial life in Kiribati communities.
  • C. Manf
    Manf is the Arabic name for the ancient Egyptian city of Memphis, a historically significant capital near modern-day Cairo.
  • D. manaca
    manaca is a rechargeable contactless smart card used for public transportation and electronic payments in the Nagoya area of Japan.
  • E. Manji
    Manji is a 1964 Japanese drama film, directed by Yasuzō Masumura and starring Ayako Wakao, that explores obsessive love and psychological turmoil.
  • 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_69d827865f608190b311820428ae027b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6111a36081909beff35c88a56960 completed April 14, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcdf16079c819080a74cd8a6eb37a6 completed May 7, 2026, 6:51 p.m.
NEDg Description generation batch_69fce89cf5b08190a2a610f49a4b6f90 completed May 7, 2026, 7:31 p.m.
NED2 Entity disambiguation (via description) batch_69fce984be2881909b38e3d9e4fac243 completed May 7, 2026, 7:35 p.m.
Created at: April 10, 2026, 12:40 a.m.