Triple

T6118085
Position Surface form Disambiguated ID Type / Status
Subject Inhambane Province E136410 entity
Predicate hasTown P847 FINISHED
Object Homoine
Homoine is a town in southern Mozambique’s Inhambane Province, known primarily as a rural administrative and agricultural center.
 E568946 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: Homoine | Statement: [Inhambane Province, hasTown, Homoine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Homoine
Context triple: [Inhambane Province, hasTown, Homoine]
  • A. Hemite
    Hemite is a village in Turkey best known as the birthplace of renowned novelist Yaşar Kemal.
  • B. Heno
    Heno is a Welsh-language television magazine programme broadcast on S4C, featuring news, interviews, and cultural stories from across Wales.
  • C. Hysminai
    Hysminai are minor Greek mythological spirits personifying battle, bloodshed, and violent conflict.
  • D. Soral
    Soral is a small rural municipality in southwestern Switzerland, located in the canton of Geneva near the French border.
  • E. Hannut
    Hannut is a municipality in the French-speaking Walloon Region of Belgium, known for its rural character and location between Liège and Brussels.
  • 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: Homoine
Triple: [Inhambane Province, hasTown, Homoine]
Generated description
Homoine is a town in southern Mozambique’s Inhambane Province, known primarily as a rural administrative and agricultural center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Homoine
Target entity description: Homoine is a town in southern Mozambique’s Inhambane Province, known primarily as a rural administrative and agricultural center.
  • A. Hemite
    Hemite is a village in Turkey best known as the birthplace of renowned novelist Yaşar Kemal.
  • B. Heno
    Heno is a Welsh-language television magazine programme broadcast on S4C, featuring news, interviews, and cultural stories from across Wales.
  • C. Hysminai
    Hysminai are minor Greek mythological spirits personifying battle, bloodshed, and violent conflict.
  • D. Soral
    Soral is a small rural municipality in southwestern Switzerland, located in the canton of Geneva near the French border.
  • E. Hannut
    Hannut is a municipality in the French-speaking Walloon Region of Belgium, known for its rural character and location between Liège and Brussels.
  • 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_69c0089f851c81909e5e189a617dcff6 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05bec9b8c8190b3268b0ba952aae6 completed March 22, 2026, 9:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1256ddb38819095f582b6468db407 completed March 23, 2026, 11:35 a.m.
NEDg Description generation batch_69c125ede4f88190989a5a40accd2745 completed March 23, 2026, 11:37 a.m.
NED2 Entity disambiguation (via description) batch_69c1268ffc7481909a9bd2be039dbf45 completed March 23, 2026, 11:40 a.m.
Created at: March 22, 2026, 4:14 p.m.