Triple

T21254544
Position Surface form Disambiguated ID Type / Status
Subject Écija E523831 entity
Predicate demonym P191 FINISHED
Object ecijana
Ecijana is the Spanish demonym for a female inhabitant or native of Écija, a historic city in the province of Seville, Andalusia.
 E1474750 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: ecijana | Statement: [Écija, demonym, ecijana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ecijana
Context triple: [Écija, demonym, ecijana]
  • A. Ece'je
    Ece'je is the autonym used by the Ese Ejja people, an Indigenous group of the Amazonian region of Bolivia and Peru.
  • B. Eejanaika
    Eejanaika is a record-breaking 4th-dimension roller coaster in Japan known for its extreme inversions and intense, disorienting ride experience.
  • C. Jevanic
    Jevanic is a historical Judeo-Greek language traditionally spoken by the Romaniote Jewish communities of the Eastern Mediterranean.
  • D. Jelicuon Este
    Jelicuon Este is a barangay (village-level administrative division) of the municipality of Oton in the province of Iloilo, Philippines.
  • E. Jircan
    Jircan is a small town and district capital located in the Huamalíes Province of the Huánuco Region in central Peru.
  • 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: ecijana
Triple: [Écija, demonym, ecijana]
Generated description
Ecijana is the Spanish demonym for a female inhabitant or native of Écija, a historic city in the province of Seville, Andalusia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ecijana
Target entity description: Ecijana is the Spanish demonym for a female inhabitant or native of Écija, a historic city in the province of Seville, Andalusia.
  • A. Ece'je
    Ece'je is the autonym used by the Ese Ejja people, an Indigenous group of the Amazonian region of Bolivia and Peru.
  • B. Eejanaika
    Eejanaika is a record-breaking 4th-dimension roller coaster in Japan known for its extreme inversions and intense, disorienting ride experience.
  • C. Jevanic
    Jevanic is a historical Judeo-Greek language traditionally spoken by the Romaniote Jewish communities of the Eastern Mediterranean.
  • D. Jelicuon Este
    Jelicuon Este is a barangay (village-level administrative division) of the municipality of Oton in the province of Iloilo, Philippines.
  • E. Jircan
    Jircan is a small town and district capital located in the Huamalíes Province of the Huánuco Region in central Peru.
  • 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_69e0b5146c108190adc9adb73e90abff completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e735a0e7dc8190b591b5b6786ce619 completed April 21, 2026, 8:30 a.m.
NED1 Entity disambiguation (via context triple) batch_6a098ff8b2f08190b1961558bb9c11fe completed May 17, 2026, 9:52 a.m.
NEDg Description generation batch_6a0990b9b7c8819094f7db294c2e573d completed May 17, 2026, 9:56 a.m.
NED2 Entity disambiguation (via description) batch_6a0991cdf6408190a590d8907f2fe880 completed May 17, 2026, 10 a.m.
Created at: April 16, 2026, 3:57 p.m.