Triple

T16547874
Position Surface form Disambiguated ID Type / Status
Subject Mawr E401990 entity
Predicate containsSettlement P847 FINISHED
Object Pantlasau
Pantlasau is a small settlement located in or near the Mawr area of Swansea, Wales.
E1220413 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: Pantlasau | Statement: [Mawr, containsSettlement, Pantlasau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pantlasau
Context triple: [Mawr, containsSettlement, Pantlasau]
  • A. Pilcaniyeu
    Pilcaniyeu is a small town in Argentina’s Patagonia region, located in the Andean area of Río Negro Province and known for its rural character and nearby natural landscapes.
  • B. Palawano
    Palawano is an Austronesian language spoken by the indigenous Palawano people of Palawan in the Philippines.
  • C. Batabanó
    Batabanó is a coastal municipality in western Cuba known for its fishing industry and ferry connections to nearby islands.
  • D. Balete
    Balete is a municipality in the province of Aklan in the Philippines, known for its rural communities and agricultural landscape.
  • E. Lupao
    Lupao is a landlocked agricultural municipality in the province of Nueva Ecija in the Central Luzon region of the Philippines.
  • 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: Pantlasau
Triple: [Mawr, containsSettlement, Pantlasau]
Generated description
Pantlasau is a small settlement located in or near the Mawr area of Swansea, Wales.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Pantlasau
Target entity description: Pantlasau is a small settlement located in or near the Mawr area of Swansea, Wales.
  • A. Pilcaniyeu
    Pilcaniyeu is a small town in Argentina’s Patagonia region, located in the Andean area of Río Negro Province and known for its rural character and nearby natural landscapes.
  • B. Palawano
    Palawano is an Austronesian language spoken by the indigenous Palawano people of Palawan in the Philippines.
  • C. Batabanó
    Batabanó is a coastal municipality in western Cuba known for its fishing industry and ferry connections to nearby islands.
  • D. Balete
    Balete is a municipality in the province of Aklan in the Philippines, known for its rural communities and agricultural landscape.
  • E. Lupao
    Lupao is a landlocked agricultural municipality in the province of Nueva Ecija in the Central Luzon region of the Philippines.
  • 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_69d88384bc30819084229e7dcdc39a41 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e34fbf79048190b761008441762374 completed April 18, 2026, 9:32 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0067b4f6448190812632ab9023b665 completed May 10, 2026, 11:10 a.m.
NEDg Description generation batch_6a00686f87408190b7d8a41cd54735d8 completed May 10, 2026, 11:13 a.m.
NED2 Entity disambiguation (via description) batch_6a006b6edd7081908730363b267253dd completed May 10, 2026, 11:26 a.m.
Created at: April 10, 2026, 5:15 a.m.