Triple

T1827142
Position Surface form Disambiguated ID Type / Status
Subject South Cambridgeshire E40677 entity
Predicate containsSettlement P847 FINISHED
Object Coton
Coton is a small village and civil parish in South Cambridgeshire, England, located just west of the city of Cambridge.
 E203272 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: Coton | Statement: [South Cambridgeshire, containsSettlement, Coton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Coton
Context triple: [South Cambridgeshire, containsSettlement, Coton]
  • A. Veluws
    Veluws is a Dutch Low Saxon dialect spoken in the Veluwe region of the Netherlands, closely related to other eastern Dutch dialects such as Achterhooks.
  • B. Angora
    Angora is the former Western name for Ankara, the capital city of modern Turkey.
  • C. Mouton
    Mouton is an academic publishing house known for its influential works in linguistics and related fields.
  • D. Bône
    Bône, now known as Annaba, is a major port city in northeastern Algeria on the Mediterranean coast.
  • E. Ziza
    Ziza is a lesser-known biblical figure mentioned in the Hebrew Bible as one of the descendants in the royal line of King Rehoboam of Judah.
  • 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: Coton
Triple: [South Cambridgeshire, containsSettlement, Coton]
Generated description
Coton is a small village and civil parish in South Cambridgeshire, England, located just west of the city of Cambridge.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Coton
Target entity description: Coton is a small village and civil parish in South Cambridgeshire, England, located just west of the city of Cambridge.
  • A. Veluws
    Veluws is a Dutch Low Saxon dialect spoken in the Veluwe region of the Netherlands, closely related to other eastern Dutch dialects such as Achterhooks.
  • B. Angora
    Angora is the former Western name for Ankara, the capital city of modern Turkey.
  • C. Mouton
    Mouton is an academic publishing house known for its influential works in linguistics and related fields.
  • D. Bône
    Bône, now known as Annaba, is a major port city in northeastern Algeria on the Mediterranean coast.
  • E. Ziza
    Ziza is a lesser-known biblical figure mentioned in the Hebrew Bible as one of the descendants in the royal line of King Rehoboam of Judah.
  • 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_69a8864644bc8190b2358ab897194ac1 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb01022108190b1da05a31454ab8d completed March 7, 2026, 4:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69adbf6b4bdc8190b53dbdc9c31e3685 completed March 8, 2026, 6:26 p.m.
NEDg Description generation batch_69adc07fff60819092b10dd0e417ac5a completed March 8, 2026, 6:31 p.m.
NED2 Entity disambiguation (via description) batch_69adc0fd79c48190864f53a90517edc6 completed March 8, 2026, 6:33 p.m.
Created at: March 4, 2026, 7:32 p.m.