Triple

T8759727
Position Surface form Disambiguated ID Type / Status
Subject Cantabria E208164 entity
Predicate hasMajorRiver P165 FINISHED
Object Pas
Pas is a river in northern Spain that flows through the region of Cantabria and is known for its scenic valleys and traditional rural landscapes.
E754673 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: Pas | Statement: [Cantabria, hasMajorRiver, Pas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pas
Context triple: [Cantabria, hasMajorRiver, Pas]
  • A. Pasni
    Pasni is a coastal town in Pakistan’s Balochistan province that serves as a strategically important naval base and fishing port on the Arabian Sea.
  • B. Pasym
    Pasym is a small historic town in northern Poland known for its lakeside setting and traditional Warmian-Masurian architecture.
  • C. Pal
    Pal is an Indian surname notably borne by Bipin Chandra Pal, a prominent nationalist leader in the Indian independence movement.
  • D. PA
    PA is the postcode area in western Scotland that covers Paisley and parts of the surrounding Greater Glasgow region.
  • E. PA
    PA is the provincial code for the Metropolitan City of Palermo in the Sicily region of Italy.
  • 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: Pas
Triple: [Cantabria, hasMajorRiver, Pas]
Generated description
Pas is a river in northern Spain that flows through the region of Cantabria and is known for its scenic valleys and traditional rural landscapes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Pas
Target entity description: Pas is a river in northern Spain that flows through the region of Cantabria and is known for its scenic valleys and traditional rural landscapes.
  • A. Pasni
    Pasni is a coastal town in Pakistan’s Balochistan province that serves as a strategically important naval base and fishing port on the Arabian Sea.
  • B. Pasym
    Pasym is a small historic town in northern Poland known for its lakeside setting and traditional Warmian-Masurian architecture.
  • C. Pal
    Pal is an Indian surname notably borne by Bipin Chandra Pal, a prominent nationalist leader in the Indian independence movement.
  • D. PA
    PA is the postcode area in western Scotland that covers Paisley and parts of the surrounding Greater Glasgow region.
  • E. PA
    PA is the provincial code for the Metropolitan City of Palermo in the Sicily region of Italy.
  • 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_69ca835cd6b08190bd7c63db92f53c86 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5df81c58819089af99306e103dbb completed March 31, 2026, 11:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf434bcac08190be07175a26804185 completed April 3, 2026, 4:34 a.m.
NEDg Description generation batch_69cf452b237c8190958f7b42e9611e7b completed April 3, 2026, 4:42 a.m.
NED2 Entity disambiguation (via description) batch_69cf45e6f4108190ac6955264b466abb completed April 3, 2026, 4:45 a.m.
Created at: March 30, 2026, 6:40 p.m.