Triple

T27502397
Position Surface form Disambiguated ID Type / Status
Subject Abbeystead Dam E694192 entity
Predicate hasSafetyImprovementsAfter P33946 FINISHED
Object Abbeystead disaster
The Abbeystead disaster was a 1984 methane gas explosion in an underground waterworks visitor tunnel in Lancashire, England, that killed 16 people and led to major reviews of industrial and public safety practices.
 E1776028 NE FINISHED

How this triple was built (3 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: Abbeystead disaster | Statement: [Abbeystead Dam, hasSafetyImprovementsAfter, Abbeystead disaster]
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: Abbeystead disaster
Triple: [Abbeystead Dam, hasSafetyImprovementsAfter, Abbeystead disaster]
Generated description
The Abbeystead disaster was a 1984 methane gas explosion in an underground waterworks visitor tunnel in Lancashire, England, that killed 16 people and led to major reviews of industrial and public safety practices.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasSafetyImprovementsAfter
Context triple: [Abbeystead Dam, hasSafetyImprovementsAfter, Abbeystead disaster]
  • A. safetyChangesImplemented chosen
    Indicates that specific safety-related modifications or measures have been put into effect.
  • B. hasImproved
    Indicates that an entity’s state, quality, or performance has become better compared to a previous point in time.
  • C. hasUpgrade
    Indicates that one entity possesses, includes, or is associated with an improved or enhanced version of another entity.
  • D. safetyRecordChangedAfter
    Indicates that an entity’s safety record was modified following a specified event, time, or condition.
  • E. wasUpgradedFor
    Indicates that one entity was improved, enhanced, or updated specifically to serve, benefit, or be compatible with another entity.
  • F. None of above.

Provenance (6 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_69ef538370888190b1ddf53bb4831188 completed April 27, 2026, 12:16 p.m.
NER Named-entity recognition batch_69f67f0488bc819089fbd2d2478158d3 completed May 2, 2026, 10:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12bbf8fabc81909c4d133548e75dff completed May 24, 2026, 8:51 a.m.
NEDg Description generation batch_6a12bd4dacfc81908c61517b7286c35d completed May 24, 2026, 8:56 a.m.
NED2 Entity disambiguation (via description) batch_6a12bdeacda08190bfe8354ed2666d23 completed May 24, 2026, 8:59 a.m.
PD Predicate disambiguation batch_69f67e3ed894819094c067c1ef624951 completed May 2, 2026, 10:44 p.m.
Created at: April 27, 2026, 1:11 p.m.