Triple

T10620936
Position Surface form Disambiguated ID Type / Status
Subject Juan Ruiz E250198 entity
Predicate placeOfActivity P1527 FINISHED
Object Hita
Hita is a historic town in the province of Guadalajara, Spain, known for its medieval architecture and literary associations.
 E875555 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: Hita | Statement: [Juan Ruiz, placeOfActivity, Hita]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hita
Context triple: [Juan Ruiz, placeOfActivity, Hita]
  • A. Hita
    Hita is a historic city in Ōita Prefecture on Japan’s Kyushu island, known for its preserved traditional townscape, riverside setting, and summer festivals.
  • B. Hagi
    Hagi is a historic castle town in Yamaguchi Prefecture, Japan, known for its well-preserved samurai districts, traditional streets, and role in the late Edo and Meiji Restoration periods.
  • C. Hagi
    Hagi is a Romanian surname most famously associated with Gheorghe Hagi, one of Romania’s greatest footballers.
  • D. Higashi
    Higashi is a residential and commercial neighborhood located in Tokyo's Shibuya ward.
  • E. Hadano
    Hadano is a city in Kanagawa Prefecture, Japan, known for its natural scenery, hiking trails, and proximity to the Tanzawa Mountains.
  • 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: Hita
Triple: [Juan Ruiz, placeOfActivity, Hita]
Generated description
Hita is a historic town in the province of Guadalajara, Spain, known for its medieval architecture and literary associations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hita
Target entity description: Hita is a historic town in the province of Guadalajara, Spain, known for its medieval architecture and literary associations.
  • A. Hita
    Hita is a historic city in Ōita Prefecture on Japan’s Kyushu island, known for its preserved traditional townscape, riverside setting, and summer festivals.
  • B. Hagi
    Hagi is a historic castle town in Yamaguchi Prefecture, Japan, known for its well-preserved samurai districts, traditional streets, and role in the late Edo and Meiji Restoration periods.
  • C. Hagi
    Hagi is a Romanian surname most famously associated with Gheorghe Hagi, one of Romania’s greatest footballers.
  • D. Higashi
    Higashi is a residential and commercial neighborhood located in Tokyo's Shibuya ward.
  • E. Hadano
    Hadano is a city in Kanagawa Prefecture, Japan, known for its natural scenery, hiking trails, and proximity to the Tanzawa Mountains.
  • 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_69d6aa5993448190a493b790b8f85010 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6df70b0288190bf6edd705632ff02 completed April 8, 2026, 11:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69d96b908e788190bc9e4f327e871a7f completed April 10, 2026, 9:28 p.m.
NEDg Description generation batch_69d96def8bfc81909d6a5addf724691b completed April 10, 2026, 9:38 p.m.
NED2 Entity disambiguation (via description) batch_69d96fedb18881908570593856f4aade completed April 10, 2026, 9:47 p.m.
Created at: April 8, 2026, 8:49 p.m.