Triple

T8206811
Position Surface form Disambiguated ID Type / Status
Subject Costa da Morte E191707 entity
Predicate contains P35 FINISHED
Object Zas
Zas is a municipality in the province of A Coruña in Galicia, northwestern Spain, known for its rural landscapes and traditional Galician culture.
 E719456 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: Zas | Statement: [Costa da Morte, contains, Zas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zas
Context triple: [Costa da Morte, contains, Zas]
  • A. Zare
    Zare is the surname of Richard N. Zare, a prominent American chemist known for his pioneering work in laser chemistry and molecular reaction dynamics.
  • B. ZS
    ZS is the vehicle registration code assigned to cars registered in the Polish city of Szczecin.
  • C. ZS
    ZS is the stock ticker symbol for Zscaler, a cloud-based information security company traded on the NASDAQ.
  • D. Zau
    Zau is an ancient city, historically known as Sais, that served as an important religious and political center in Egypt’s Nile Delta.
  • E. Zal
    Zal is a legendary white-haired hero and warrior from Persian mythology, best known as the father of the champion Rostam in Ferdowsi’s epic Shahnameh.
  • 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: Zas
Triple: [Costa da Morte, contains, Zas]
Generated description
Zas is a municipality in the province of A Coruña in Galicia, northwestern Spain, known for its rural landscapes and traditional Galician culture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zas
Target entity description: Zas is a municipality in the province of A Coruña in Galicia, northwestern Spain, known for its rural landscapes and traditional Galician culture.
  • A. Zare
    Zare is the surname of Richard N. Zare, a prominent American chemist known for his pioneering work in laser chemistry and molecular reaction dynamics.
  • B. ZS
    ZS is the vehicle registration code assigned to cars registered in the Polish city of Szczecin.
  • C. ZS
    ZS is the stock ticker symbol for Zscaler, a cloud-based information security company traded on the NASDAQ.
  • D. Zau
    Zau is an ancient city, historically known as Sais, that served as an important religious and political center in Egypt’s Nile Delta.
  • E. Zal
    Zal is a legendary white-haired hero and warrior from Persian mythology, best known as the father of the champion Rostam in Ferdowsi’s epic Shahnameh.
  • 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_69ca82c7f3e08190857bf1fc63b2a10c completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb726b520081908ce4a03bd14dfcdf completed March 31, 2026, 7:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccedda69148190b8c221221de5dae5 completed April 1, 2026, 10:05 a.m.
NEDg Description generation batch_69ccf1ba74548190831677bb126bea1a completed April 1, 2026, 10:21 a.m.
NED2 Entity disambiguation (via description) batch_69cd05c2059081908bd04ee4722f9aad completed April 1, 2026, 11:47 a.m.
Created at: March 30, 2026, 5:43 p.m.