Triple

T2749861
Position Surface form Disambiguated ID Type / Status
Subject Bihar E60958 entity
Predicate containsCity P294 FINISHED
Object Siwan
Siwan is a town and district headquarters in the Indian state of Bihar, known for its historical significance and political prominence.
 E295115 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: Siwan | Statement: [Bihar, containsCity, Siwan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Siwan
Context triple: [Bihar, containsCity, Siwan]
  • A. Shivini
    Shivini is the Urartian sun god, often associated with light, justice, and royal authority in the ancient Kingdom of Urartu.
  • B. Simi
    Simi is a Greek island in the Dodecanese archipelago in the southeastern Aegean Sea, near the coast of Turkey.
  • C. Shobab
    Shobab is a lesser-known son of King David of Israel and Bathsheba, mentioned briefly in the Hebrew Bible.
  • D. Latika
    Latika is a central character in the film "Slumdog Millionaire," portrayed as the protagonist's childhood friend and love interest whose life intertwines with his journey from the Mumbai slums to game-show fame.
  • E. Siwi
    Siwi is a Berber language spoken primarily in Egypt’s Siwa Oasis, known for its unique features and relative isolation from other Berber varieties.
  • 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: Siwan
Triple: [Bihar, containsCity, Siwan]
Generated description
Siwan is a town and district headquarters in the Indian state of Bihar, known for its historical significance and political prominence.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Siwan
Target entity description: Siwan is a town and district headquarters in the Indian state of Bihar, known for its historical significance and political prominence.
  • A. Shivini
    Shivini is the Urartian sun god, often associated with light, justice, and royal authority in the ancient Kingdom of Urartu.
  • B. Simi
    Simi is a Greek island in the Dodecanese archipelago in the southeastern Aegean Sea, near the coast of Turkey.
  • C. Shobab
    Shobab is a lesser-known son of King David of Israel and Bathsheba, mentioned briefly in the Hebrew Bible.
  • D. Latika
    Latika is a central character in the film "Slumdog Millionaire," portrayed as the protagonist's childhood friend and love interest whose life intertwines with his journey from the Mumbai slums to game-show fame.
  • E. Siwi
    Siwi is a Berber language spoken primarily in Egypt’s Siwa Oasis, known for its unique features and relative isolation from other Berber varieties.
  • 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_69ab4b79846081909096725374d65ce9 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdb52b1d48190b6ab511cc8834a14 completed March 7, 2026, 8:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69afbbd573988190988d7af4997202fb completed March 10, 2026, 6:36 a.m.
NEDg Description generation batch_69afbc67c39c8190b5932c0e23595f64 completed March 10, 2026, 6:38 a.m.
NED2 Entity disambiguation (via description) batch_69afbd2d8a2c8190896a9154ebbd8bab completed March 10, 2026, 6:41 a.m.
Created at: March 6, 2026, 9:56 p.m.