Triple

T22376388
Position Surface form Disambiguated ID Type / Status
Subject Ganjam district E553160 entity
Predicate hasTown P847 FINISHED
Object Hinjilicut
Hinjilicut is a town in the Ganjam district of the Indian state of Odisha, known as a local commercial and administrative center for surrounding rural areas.
 E1532557 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: Hinjilicut | Statement: [Ganjam district, hasTown, Hinjilicut]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hinjilicut
Context triple: [Ganjam district, hasTown, Hinjilicut]
  • A. Hakitia
    Hakitia is a Judeo-Spanish dialect historically spoken by North African Sephardic Jews, blending Old Spanish with Hebrew and elements of Arabic.
  • B. Jiloca
    Jiloca is a river in northeastern Spain that flows through the autonomous community of Aragon, contributing to the region’s agricultural and natural landscapes.
  • C. Hicetaon
    Hicetaon is a figure in Greek mythology, traditionally known as a Trojan elder and member of King Priam’s extended family.
  • D. Ghinghinda
    Ghinghinda is a rural locality within Queensland’s Banana Shire, known for its agricultural and pastoral landscape.
  • E. Juncalito
    Juncalito is a rural municipal district in the Dominican Republic known for its mountainous terrain and coffee production.
  • 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: Hinjilicut
Triple: [Ganjam district, hasTown, Hinjilicut]
Generated description
Hinjilicut is a town in the Ganjam district of the Indian state of Odisha, known as a local commercial and administrative center for surrounding rural areas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hinjilicut
Target entity description: Hinjilicut is a town in the Ganjam district of the Indian state of Odisha, known as a local commercial and administrative center for surrounding rural areas.
  • A. Hakitia
    Hakitia is a Judeo-Spanish dialect historically spoken by North African Sephardic Jews, blending Old Spanish with Hebrew and elements of Arabic.
  • B. Jiloca
    Jiloca is a river in northeastern Spain that flows through the autonomous community of Aragon, contributing to the region’s agricultural and natural landscapes.
  • C. Hicetaon
    Hicetaon is a figure in Greek mythology, traditionally known as a Trojan elder and member of King Priam’s extended family.
  • D. Ghinghinda
    Ghinghinda is a rural locality within Queensland’s Banana Shire, known for its agricultural and pastoral landscape.
  • E. Juncalito
    Juncalito is a rural municipal district in the Dominican Republic known for its mountainous terrain and coffee production.
  • 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_69e11e4c03248190a26a5060ea6973ee completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f158285d208190bc7d05d315267995 completed April 29, 2026, 1 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0ae06e23dc8190b20d951ea908c6c8 completed May 18, 2026, 9:48 a.m.
NEDg Description generation batch_6a0ae1b572748190a31b34e64a40f57d completed May 18, 2026, 9:53 a.m.
NED2 Entity disambiguation (via description) batch_6a0ae26aaa8081908b255e39fb91dcb2 completed May 18, 2026, 9:56 a.m.
Created at: April 16, 2026, 8:45 p.m.