Triple

T19803236
Position Surface form Disambiguated ID Type / Status
Subject Thane Baker E475739 entity
Predicate givenName P17 FINISHED
Object Thane
Thane is a masculine given name of Old English and Scottish origin, historically associated with a noble rank or landholding official.
 E168787 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: Thane | Statement: [Thane Baker, givenName, Thane]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Thane
Context triple: [Thane Baker, givenName, Thane]
  • A. Thane
    Thane is a major city in western India known for its numerous lakes and its proximity to Mumbai.
  • B. Panvel
    Panvel is a major railway and commercial hub in Navi Mumbai, Maharashtra, serving as an important junction and gateway between Mumbai and the wider Konkan region.
  • C. Navi Mumbai
    Navi Mumbai is a planned satellite city across the harbor from Mumbai, developed to decongest the main metropolis and featuring organized residential, commercial, and industrial zones.
  • D. Kurla
    Kurla is a densely populated suburban neighborhood in Mumbai, India, known as a major residential, commercial, and transport hub of the city.
  • E. Mumbra
    Mumbra is a densely populated suburban area in the Thane district of Maharashtra, India, known for its largely Muslim population and rapid urban growth.
  • 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: Thane
Triple: [Thane Baker, givenName, Thane]
Generated description
Thane is a masculine given name of Old English and Scottish origin, historically associated with a noble rank or landholding official.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Thane
Target entity description: Thane is a masculine given name of Old English and Scottish origin, historically associated with a noble rank or landholding official.
  • A. Thane chosen
    Thane is a major city in western India known for its numerous lakes and its proximity to Mumbai.
  • B. Panvel
    Panvel is a major railway and commercial hub in Navi Mumbai, Maharashtra, serving as an important junction and gateway between Mumbai and the wider Konkan region.
  • C. Navi Mumbai
    Navi Mumbai is a planned satellite city across the harbor from Mumbai, developed to decongest the main metropolis and featuring organized residential, commercial, and industrial zones.
  • D. Kurla
    Kurla is a densely populated suburban neighborhood in Mumbai, India, known as a major residential, commercial, and transport hub of the city.
  • E. Mumbra
    Mumbra is a densely populated suburban area in the Thane district of Maharashtra, India, known for its largely Muslim population and rapid urban growth.
  • F. None of above.

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_69d8e51bc4208190a1c57d8c5d1b15e4 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e654266e18819085698aed8b0e2ba8 completed April 20, 2026, 4:28 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07c50a78dc8190ae3125974372785c completed May 16, 2026, 1:14 a.m.
NEDg Description generation batch_6a07c59d56c8819092cd0d6ac6265ebf completed May 16, 2026, 1:17 a.m.
NED2 Entity disambiguation (via description) batch_6a07c61cde3081909bfec0054e4cd5e9 completed May 16, 2026, 1:19 a.m.
Created at: April 10, 2026, 1:49 p.m.