Triple

T22458944
Position Surface form Disambiguated ID Type / Status
Subject Malappuram district E555180 entity
Predicate hasMajorTown P316 FINISHED
Object Mongam
Mongam is a town in Kerala, India, known as a local commercial and residential center within the Malappuram district.
E1537801 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: Mongam | Statement: [Malappuram district, hasMajorTown, Mongam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mongam
Context triple: [Malappuram district, hasMajorTown, Mongam]
  • A. Munja
    Munja, also known as Vakpati Munja, was a prominent 10th-century Paramara king of Malwa celebrated for his military campaigns, patronage of learning, and contributions to early medieval Indian culture.
  • B. Moengo
    Moengo is a town in eastern Suriname known historically as a major bauxite mining center.
  • C. Mogolo
    Mogolo is a town located in Eritrea's Gash-Barka region, known primarily as a local agricultural and trading center.
  • D. Mutengene
    Mutengene is a town in southwestern Cameroon known as a key road junction linking the coastal city of Limbe with Buea and other inland areas.
  • E. Mongu
    Mongu is a town in western Zambia that serves as the administrative and cultural center of the Lozi people and a key hub near the Zambezi River’s Barotse Floodplain.
  • 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: Mongam
Triple: [Malappuram district, hasMajorTown, Mongam]
Generated description
Mongam is a town in Kerala, India, known as a local commercial and residential center within the Malappuram district.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mongam
Target entity description: Mongam is a town in Kerala, India, known as a local commercial and residential center within the Malappuram district.
  • A. Munja
    Munja, also known as Vakpati Munja, was a prominent 10th-century Paramara king of Malwa celebrated for his military campaigns, patronage of learning, and contributions to early medieval Indian culture.
  • B. Moengo
    Moengo is a town in eastern Suriname known historically as a major bauxite mining center.
  • C. Mogolo
    Mogolo is a town located in Eritrea's Gash-Barka region, known primarily as a local agricultural and trading center.
  • D. Mutengene
    Mutengene is a town in southwestern Cameroon known as a key road junction linking the coastal city of Limbe with Buea and other inland areas.
  • E. Mongu
    Mongu is a town in western Zambia that serves as the administrative and cultural center of the Lozi people and a key hub near the Zambezi River’s Barotse Floodplain.
  • 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_69e11e51fdec8190adfdf9f8a6362221 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15b7e01fc8190825c3dc024484440 completed April 29, 2026, 1:14 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b0c8217ac8190af16df3d941446ce completed May 18, 2026, 12:56 p.m.
NEDg Description generation batch_6a0b0d1e3ba08190bf963526973cd462 completed May 18, 2026, 12:59 p.m.
NED2 Entity disambiguation (via description) batch_6a0b0dc247b88190b8c54084c5727941 completed May 18, 2026, 1:01 p.m.
Created at: April 16, 2026, 8:48 p.m.