Triple

T2603453
Position Surface form Disambiguated ID Type / Status
Subject Hillsborough disaster E58597 entity
Predicate occurredInPen P39576 FINISHED
Object Pen 4
Pen 4 was one of the central standing enclosures at Hillsborough Stadium where the fatal overcrowding and crush occurred during the 1989 Hillsborough disaster.
 E281482 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 4 | Statement: [Hillsborough disaster, occurredInPen, Pen 4]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pen 4
Context triple: [Hillsborough disaster, occurredInPen, Pen 4]
  • A. PEN
    PEN is an international writers’ organization dedicated to promoting literature and defending freedom of expression worldwide.
  • B. PEN
    PEN is the Peruvian sol, the official national currency of Peru.
  • C. Pen Dinas
    Pen Dinas is an Iron Age hillfort and prominent landmark overlooking the coastal town of Aberystwyth in Ceredigion, Wales.
  • D. Penge
    Penge is a suburban district in southeast London known for its Victorian architecture and proximity to Crystal Palace.
  • E. Garafía
    Garafía is a rural municipality on the island of La Palma in Spain’s Canary Islands, known for its rugged coastline, traditional agriculture, and dark-sky stargazing conditions.
  • 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 4
Triple: [Hillsborough disaster, occurredInPen, Pen 4]
Generated description
Pen 4 was one of the central standing enclosures at Hillsborough Stadium where the fatal overcrowding and crush occurred during the 1989 Hillsborough disaster.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pen 4
Target entity description: Pen 4 was one of the central standing enclosures at Hillsborough Stadium where the fatal overcrowding and crush occurred during the 1989 Hillsborough disaster.
  • A. PEN
    PEN is an international writers’ organization dedicated to promoting literature and defending freedom of expression worldwide.
  • B. PEN
    PEN is the Peruvian sol, the official national currency of Peru.
  • C. Pen Dinas
    Pen Dinas is an Iron Age hillfort and prominent landmark overlooking the coastal town of Aberystwyth in Ceredigion, Wales.
  • D. Penge
    Penge is a suburban district in southeast London known for its Victorian architecture and proximity to Crystal Palace.
  • E. Garafía
    Garafía is a rural municipality on the island of La Palma in Spain’s Canary Islands, known for its rugged coastline, traditional agriculture, and dark-sky stargazing conditions.
  • 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_69ab4ac3523881909679750c9f8c2dec completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd83299708190993b79daaffcc9a1 completed March 7, 2026, 7:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69af83d6daa4819087ee111e648ce71d completed March 10, 2026, 2:37 a.m.
NEDg Description generation batch_69af851e85e0819080d57dc7dbd3a901 completed March 10, 2026, 2:42 a.m.
NED2 Entity disambiguation (via description) batch_69af858561f48190b7a2863d733a1b13 completed March 10, 2026, 2:44 a.m.
Created at: March 6, 2026, 9:49 p.m.