Triple

T11845255
Position Surface form Disambiguated ID Type / Status
Subject Hiri trade voyages E281757 entity
Predicate startingPoint P389 FINISHED
Object Hanuabada
Hanuabada is a large traditional coastal village near Port Moresby in Papua New Guinea, known as a historic center of Motuan culture and seafaring.
 E949292 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: Hanuabada | Statement: [Hiri trade voyages, startingPoint, Hanuabada]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hanuabada
Context triple: [Hiri trade voyages, startingPoint, Hanuabada]
  • A. Kahuta
    Kahuta is a town in Pakistan’s Punjab province known for hosting the country’s primary nuclear research and enrichment facilities.
  • B. Galwa
    Galwa is a dialect of the Myene language spoken by communities in Gabon.
  • C. Koṭa
    Koṭa is a Dravidian language spoken by the indigenous Kota people in the Nilgiri Hills of southern India.
  • D. Bijnor
    Bijnor is a prominent city in the Indian state of Uttar Pradesh, known for its agricultural economy, especially sugarcane cultivation, and its historical and cultural significance in the region.
  • E. Bankura
    Bankura is a town in eastern India known as the administrative headquarters of Bankura district and for its terracotta temples and traditional crafts.
  • 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: Hanuabada
Triple: [Hiri trade voyages, startingPoint, Hanuabada]
Generated description
Hanuabada is a large traditional coastal village near Port Moresby in Papua New Guinea, known as a historic center of Motuan culture and seafaring.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hanuabada
Target entity description: Hanuabada is a large traditional coastal village near Port Moresby in Papua New Guinea, known as a historic center of Motuan culture and seafaring.
  • A. Kahuta
    Kahuta is a town in Pakistan’s Punjab province known for hosting the country’s primary nuclear research and enrichment facilities.
  • B. Galwa
    Galwa is a dialect of the Myene language spoken by communities in Gabon.
  • C. Koṭa
    Koṭa is a Dravidian language spoken by the indigenous Kota people in the Nilgiri Hills of southern India.
  • D. Bijnor
    Bijnor is a prominent city in the Indian state of Uttar Pradesh, known for its agricultural economy, especially sugarcane cultivation, and its historical and cultural significance in the region.
  • E. Bankura
    Bankura is a town in eastern India known as the administrative headquarters of Bankura district and for its terracotta temples and traditional crafts.
  • 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_69d6ab287ba48190a5178779fd19b9b7 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a65b5ff08190bb58361f6a6acdca completed April 10, 2026, 7:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69f167a876048190aeeeccebae9e46ad completed April 29, 2026, 2:06 a.m.
NEDg Description generation batch_69f17005c318819090e54bc64d135477 completed April 29, 2026, 2:42 a.m.
NED2 Entity disambiguation (via description) batch_69f17814de1881908973af026af5d1d1 completed April 29, 2026, 3:16 a.m.
Created at: April 8, 2026, 9:43 p.m.