Triple

T4706202
Position Surface form Disambiguated ID Type / Status
Subject Alsager E104393 entity
Predicate hasLake P1025 FINISHED
Object The Mere
The Mere is a notable lake in the town of Alsager in Cheshire, England, valued for its scenic setting and local recreational use.
E463765 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: The Mere | Statement: [Alsager, hasLake, The Mere]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Mere
Context triple: [Alsager, hasLake, The Mere]
  • A. The Long Water
    The Long Water is a picturesque ornamental lake in London's Kensington Gardens, forming the western half of the Serpentine.
  • B. Cattewater
    Cattewater is a tidal estuary and anchorage forming part of the harbor area at Plymouth on the south coast of England.
  • C. The Lough
    The Lough is a shallow freshwater lake and wildlife sanctuary in Cork city, Ireland, popular for walking, birdwatching, and recreational activities.
  • D. The Loch
    The Loch is a scenic alpine lake in Rocky Mountain National Park, Colorado, known for its dramatic mountain backdrop and popular hiking access.
  • E. The Lake
    The Lake is a village-like neighborhood in Newton, Massachusetts, known for its strong community identity and historically Irish-American roots.
  • 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: The Mere
Triple: [Alsager, hasLake, The Mere]
Generated description
The Mere is a notable lake in the town of Alsager in Cheshire, England, valued for its scenic setting and local recreational use.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: The Mere
Target entity description: The Mere is a notable lake in the town of Alsager in Cheshire, England, valued for its scenic setting and local recreational use.
  • A. The Long Water
    The Long Water is a picturesque ornamental lake in London's Kensington Gardens, forming the western half of the Serpentine.
  • B. Cattewater
    Cattewater is a tidal estuary and anchorage forming part of the harbor area at Plymouth on the south coast of England.
  • C. The Lough
    The Lough is a shallow freshwater lake and wildlife sanctuary in Cork city, Ireland, popular for walking, birdwatching, and recreational activities.
  • D. The Loch
    The Loch is a scenic alpine lake in Rocky Mountain National Park, Colorado, known for its dramatic mountain backdrop and popular hiking access.
  • E. The Lake
    The Lake is a village-like neighborhood in Newton, Massachusetts, known for its strong community identity and historically Irish-American roots.
  • 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_69bd43eac3c08190af7e4020c6c3704c completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd63e808c88190877e98408498fb62 completed March 20, 2026, 3:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69be1067c6a081909fa06689ea66a8a4 completed March 21, 2026, 3:28 a.m.
NEDg Description generation batch_69be133c5a8c8190b3c0f066c4ab44a9 completed March 21, 2026, 3:40 a.m.
NED2 Entity disambiguation (via description) batch_69be13cafd1c8190aec0efe6328c25b8 completed March 21, 2026, 3:43 a.m.
Created at: March 20, 2026, 1:17 p.m.