Triple

T8192246
Position Surface form Disambiguated ID Type / Status
Subject Province of Toledo E191338 entity
Predicate contains P35 FINISHED
Object Illescas
Illescas is a historic town and municipality in central Spain, known for its traditional architecture and location between Madrid and Toledo.
 E726814 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: Illescas | Statement: [Province of Toledo, contains, Illescas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Illescas
Context triple: [Province of Toledo, contains, Illescas]
  • A. Torredelcampo
    Torredelcampo is a municipality in southern Spain’s Andalusia region, situated near the city of Jaén and known for its olive groves and agricultural economy.
  • B. Alcarria
    Alcarria is a historic comarca in central Spain known for its rolling limestone plateaus, traditional villages, and production of honey and olive oil.
  • C. Alhué
    Alhué is a rural commune and town in central Chile known for its agricultural activities and traditional countryside character within the Santiago Metropolitan Region.
  • D. Villalba
    Villalba is a frazione (hamlet) of the municipality of Guidonia Montecelio in the Lazio region of central Italy.
  • E. Peñaranda
    Peñaranda is a municipality in the Philippine province of Nueva Ecija, known for its agricultural economy and local cultural traditions.
  • 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: Illescas
Triple: [Province of Toledo, contains, Illescas]
Generated description
Illescas is a historic town and municipality in central Spain, known for its traditional architecture and location between Madrid and Toledo.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Illescas
Target entity description: Illescas is a historic town and municipality in central Spain, known for its traditional architecture and location between Madrid and Toledo.
  • A. Torredelcampo
    Torredelcampo is a municipality in southern Spain’s Andalusia region, situated near the city of Jaén and known for its olive groves and agricultural economy.
  • B. Alcarria
    Alcarria is a historic comarca in central Spain known for its rolling limestone plateaus, traditional villages, and production of honey and olive oil.
  • C. Alhué
    Alhué is a rural commune and town in central Chile known for its agricultural activities and traditional countryside character within the Santiago Metropolitan Region.
  • D. Villalba
    Villalba is a frazione (hamlet) of the municipality of Guidonia Montecelio in the Lazio region of central Italy.
  • E. Peñaranda
    Peñaranda is a municipality in the Philippine province of Nueva Ecija, known for its agricultural economy and local cultural traditions.
  • 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_69ca82c5b6948190a583c096fb0a6c71 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4da4a6f08190be8088a28d928341 completed March 31, 2026, 4:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd94c7db688190a755d0143c71c2b2 completed April 1, 2026, 9:57 p.m.
NEDg Description generation batch_69cdb20cc18081908269516e49ce0fd3 completed April 2, 2026, 12:02 a.m.
NED2 Entity disambiguation (via description) batch_69cdb44ff9a88190bbcb4a56f9b44dc1 completed April 2, 2026, 12:12 a.m.
Created at: March 30, 2026, 5:42 p.m.