Triple

T8352223
Position Surface form Disambiguated ID Type / Status
Subject Liluah E196587 entity
Predicate hasNearbyLocality P3883 FINISHED
Object Salkia
Salkia is a densely populated residential and commercial neighborhood in Howrah, West Bengal, known for its proximity to Kolkata and its busy markets and transport links.
E731198 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: Salkia | Statement: [Liluah, hasNearbyLocality, Salkia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Salkia
Context triple: [Liluah, hasNearbyLocality, Salkia]
  • A. Muanisolo
    Muanisolo is a village located on Kadavu Island in Fiji, known for its traditional Fijian rural lifestyle and coastal setting.
  • B. Selaaru
    Selaaru is an Austronesian language spoken on Selaru Island in Indonesia’s Tanimbar Islands.
  • C. Mylasa
    Mylasa was an important ancient city of Caria in southwestern Anatolia, known as a political and religious center, particularly for the worship of Zeus.
  • D. Visaltia
    Visaltia is a municipality in northern Greece located within the Serres regional unit in Central Macedonia.
  • E. Melipal
    Melipal is one of the Unit Telescopes of the Very Large Telescope array at ESO’s Paranal Observatory in Chile, used for advanced optical and infrared astronomical observations.
  • 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: Salkia
Triple: [Liluah, hasNearbyLocality, Salkia]
Generated description
Salkia is a densely populated residential and commercial neighborhood in Howrah, West Bengal, known for its proximity to Kolkata and its busy markets and transport links.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Salkia
Target entity description: Salkia is a densely populated residential and commercial neighborhood in Howrah, West Bengal, known for its proximity to Kolkata and its busy markets and transport links.
  • A. Muanisolo
    Muanisolo is a village located on Kadavu Island in Fiji, known for its traditional Fijian rural lifestyle and coastal setting.
  • B. Selaaru
    Selaaru is an Austronesian language spoken on Selaru Island in Indonesia’s Tanimbar Islands.
  • C. Mylasa
    Mylasa was an important ancient city of Caria in southwestern Anatolia, known as a political and religious center, particularly for the worship of Zeus.
  • D. Visaltia
    Visaltia is a municipality in northern Greece located within the Serres regional unit in Central Macedonia.
  • E. Melipal
    Melipal is one of the Unit Telescopes of the Very Large Telescope array at ESO’s Paranal Observatory in Chile, used for advanced optical and infrared astronomical observations.
  • 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_69ca82f08b348190bfb7881944bbff6f completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb80460f048190aa298ddffde1047d completed March 31, 2026, 8:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce029282988190ae1bf71302284029 completed April 2, 2026, 5:45 a.m.
NEDg Description generation batch_69ce077d8af0819082a7ea67a2c11ddd completed April 2, 2026, 6:06 a.m.
NED2 Entity disambiguation (via description) batch_69ce082078108190867044f45bc0a806 completed April 2, 2026, 6:09 a.m.
Created at: March 30, 2026, 5:59 p.m.