Triple

T7326363
Position Surface form Disambiguated ID Type / Status
Subject Stanford-le-Hope E168884 entity
Predicate nearSettlement P3883 FINISHED
Object Mucking
Mucking is a small village in Essex, England, historically known for its gravel pits and archaeological significance.
E656592 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: Mucking | Statement: [Stanford-le-Hope, nearSettlement, Mucking]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mucking
Context triple: [Stanford-le-Hope, nearSettlement, Mucking]
  • A. Muck
    Muck is one of the Small Isles of Scotland, a tiny Inner Hebridean island known for its rugged coastline, wildlife, and remote rural character.
  • B. Pigpile
    Pigpile is a live album by the American noise rock band Big Black, capturing one of their final performances with raw, abrasive intensity.
  • C. Mudboy
    Mudboy is the debut studio album by American rapper Sheck Wes, featuring his breakout hit "Mo Bamba" and establishing his raw, energetic style.
  • D. Mud
    Mud is a 2012 American drama film directed by Jeff Nichols, in which Matthew McConaughey plays a fugitive who befriends two boys on the Mississippi River.
  • E. The Grinder
    The Grinder is an American television sitcom that satirizes legal dramas, starring Rob Lowe and Fred Savage as brothers whose lives are upended when a TV lawyer returns home believing he can practice real law.
  • 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: Mucking
Triple: [Stanford-le-Hope, nearSettlement, Mucking]
Generated description
Mucking is a small village in Essex, England, historically known for its gravel pits and archaeological significance.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mucking
Target entity description: Mucking is a small village in Essex, England, historically known for its gravel pits and archaeological significance.
  • A. Muck
    Muck is one of the Small Isles of Scotland, a tiny Inner Hebridean island known for its rugged coastline, wildlife, and remote rural character.
  • B. Pigpile
    Pigpile is a live album by the American noise rock band Big Black, capturing one of their final performances with raw, abrasive intensity.
  • C. Mudboy
    Mudboy is the debut studio album by American rapper Sheck Wes, featuring his breakout hit "Mo Bamba" and establishing his raw, energetic style.
  • D. Mud
    Mud is a 2012 American drama film directed by Jeff Nichols, in which Matthew McConaughey plays a fugitive who befriends two boys on the Mississippi River.
  • E. The Grinder
    The Grinder is an American television sitcom that satirizes legal dramas, starring Rob Lowe and Fred Savage as brothers whose lives are upended when a TV lawyer returns home believing he can practice real law.
  • 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_69c68a54cacc81908e3b773441f19566 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f0a612c08190b7a3fefa811bbcec completed March 27, 2026, 9:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7ef0e3e7481908e6cedbd3f0077ca completed March 28, 2026, 3:09 p.m.
NEDg Description generation batch_69c7efa4f5148190842f30988cbea94c completed March 28, 2026, 3:11 p.m.
NED2 Entity disambiguation (via description) batch_69c7f0092bac819080ded1863f99290a completed March 28, 2026, 3:13 p.m.
Created at: March 27, 2026, 3:03 p.m.