Triple

T18115723
Position Surface form Disambiguated ID Type / Status
Subject Izabal Department E433599 entity
Predicate containsTown P847 FINISHED
Object El Estor NE NERFINISHED

How this triple was built (3 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: El Estor | Statement: [Izabal Department, containsTown, El Estor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: El Estor
Context triple: [Izabal Department, containsTown, El Estor]
  • A. Lo Valledor
    Lo Valledor is a railway station in Santiago, Chile, serving passengers on the Metrotren Nos commuter rail line.
  • B. Lo Valledor
    Lo Valledor is a metro station on Santiago, Chile’s underground network, serving the city’s Line 6 corridor.
  • C. La Cerollera
    La Cerollera is a small rural municipality in the province of Teruel, Aragon, in northeastern Spain.
  • D. La Llagosta
    La Llagosta is a small suburban municipality in Catalonia, Spain, situated within the metropolitan area of Barcelona.
  • E. Hoyos del Espino
    Hoyos del Espino is a small mountain village in Ávila, Spain, known as a gateway to the Sierra de Gredos and outdoor activities such as hiking and mountaineering.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: El Estor
Target entity description: El Estor is a Guatemalan town on the northern shore of Lake Izabal, known for its Q’eqchi’ Maya communities and nearby nickel mining operations.
  • A. Lo Valledor
    Lo Valledor is a railway station in Santiago, Chile, serving passengers on the Metrotren Nos commuter rail line.
  • B. Lo Valledor
    Lo Valledor is a metro station on Santiago, Chile’s underground network, serving the city’s Line 6 corridor.
  • C. La Cerollera
    La Cerollera is a small rural municipality in the province of Teruel, Aragon, in northeastern Spain.
  • D. La Llagosta
    La Llagosta is a small suburban municipality in Catalonia, Spain, situated within the metropolitan area of Barcelona.
  • E. Hoyos del Espino
    Hoyos del Espino is a small mountain village in Ávila, Spain, known as a gateway to the Sierra de Gredos and outdoor activities such as hiking and mountaineering.
  • F. None of above. chosen

Provenance (2 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_69d8b90916008190a1f110bd7ced5473 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ddd58ea8819081e2bec5e591e093 completed April 19, 2026, 1:51 p.m.
Created at: April 10, 2026, 10:28 a.m.