Triple

T2102554
Position Surface form Disambiguated ID Type / Status
Subject Aberystwyth E37121 entity
Predicate hasNearbyHill P7612 FINISHED
Object Pen Dinas
Pen Dinas is an Iron Age hillfort and prominent landmark overlooking the coastal town of Aberystwyth in Ceredigion, Wales.
E233673 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: Pen Dinas | Statement: [Aberystwyth, hasNearbyHill, Pen Dinas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pen Dinas
Context triple: [Aberystwyth, hasNearbyHill, Pen Dinas]
  • A. Pila
    Pila is a popular ski resort village in Italy’s Aosta Valley, known for its scenic Alpine slopes and views of major peaks like Mont Blanc and the Matterhorn.
  • B. Penge
    Penge is a suburban district in southeast London known for its Victorian architecture and proximity to Crystal Palace.
  • C. Pileni
    Pileni is a small Polynesian outlier island community in the Solomon Islands, known for its Polynesian culture and language despite being located within Melanesia.
  • D. PEN
    PEN is the Peruvian sol, the official national currency of Peru.
  • E. PEN
    PEN is an international writers’ organization dedicated to promoting literature and defending freedom of expression worldwide.
  • 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: Pen Dinas
Triple: [Aberystwyth, hasNearbyHill, Pen Dinas]
Generated description
Pen Dinas is an Iron Age hillfort and prominent landmark overlooking the coastal town of Aberystwyth in Ceredigion, Wales.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Pen Dinas
Target entity description: Pen Dinas is an Iron Age hillfort and prominent landmark overlooking the coastal town of Aberystwyth in Ceredigion, Wales.
  • A. Pila
    Pila is a popular ski resort village in Italy’s Aosta Valley, known for its scenic Alpine slopes and views of major peaks like Mont Blanc and the Matterhorn.
  • B. Penge
    Penge is a suburban district in southeast London known for its Victorian architecture and proximity to Crystal Palace.
  • C. Pileni
    Pileni is a small Polynesian outlier island community in the Solomon Islands, known for its Polynesian culture and language despite being located within Melanesia.
  • D. PEN
    PEN is an international writers’ organization dedicated to promoting literature and defending freedom of expression worldwide.
  • E. PEN
    PEN is the Peruvian sol, the official national currency of Peru.
  • 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_69a8861828948190924aa30c08806b3a completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abbabe1e9081908ea66c5406e2f1d9 completed March 7, 2026, 5:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae3068189c81909cf76fd1fc2a0fe6 completed March 9, 2026, 2:28 a.m.
NEDg Description generation batch_69ae30f9d0448190a0b3251676d9825d completed March 9, 2026, 2:31 a.m.
NED2 Entity disambiguation (via description) batch_69ae316398488190b9dd38145d5488b4 completed March 9, 2026, 2:33 a.m.
Created at: March 4, 2026, 7:43 p.m.