Triple

T9815664
Position Surface form Disambiguated ID Type / Status
Subject Halmahera E238395 entity
Predicate hasCity P316 FINISHED
Object Labuha
Labuha is a coastal town that serves as an important local center on the Indonesian island of Halmahera.
 E823372 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: Labuha | Statement: [Halmahera, hasCity, Labuha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Labuha
Context triple: [Halmahera, hasCity, Labuha]
  • A. Kalabahi
    Kalabahi is the main town and administrative center on Alor Island in Indonesia’s East Nusa Tenggara province.
  • B. Lapaha
    Lapaha is a historic village in Tonga that served as the former capital and royal seat on the island of Tongatapu.
  • C. Laubuca
    Laubuca is a genus of small freshwater cyprinid fishes native to South and Southeast Asia, often found in slow-moving or still waters.
  • D. Mangaliso
    Mangaliso is the middle name of Robert Sobukwe, the prominent South African anti-apartheid activist and founding leader of the Pan Africanist Congress.
  • E. Laka
    Laka is a dialect of the Sara language spoken in parts of Central Africa, particularly in Chad and neighboring regions.
  • 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: Labuha
Triple: [Halmahera, hasCity, Labuha]
Generated description
Labuha is a coastal town that serves as an important local center on the Indonesian island of Halmahera.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Labuha
Target entity description: Labuha is a coastal town that serves as an important local center on the Indonesian island of Halmahera.
  • A. Kalabahi
    Kalabahi is the main town and administrative center on Alor Island in Indonesia’s East Nusa Tenggara province.
  • B. Lapaha
    Lapaha is a historic village in Tonga that served as the former capital and royal seat on the island of Tongatapu.
  • C. Laubuca
    Laubuca is a genus of small freshwater cyprinid fishes native to South and Southeast Asia, often found in slow-moving or still waters.
  • D. Mangaliso
    Mangaliso is the middle name of Robert Sobukwe, the prominent South African anti-apartheid activist and founding leader of the Pan Africanist Congress.
  • E. Laka
    Laka is a dialect of the Sara language spoken in parts of Central Africa, particularly in Chad and neighboring regions.
  • 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_69ca84dfde1481909f47c286d715f892 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb2f341648190bf8343e1124085cb completed April 2, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1cc6c64dc8190979be34255dc22e5 completed April 5, 2026, 2:43 a.m.
NEDg Description generation batch_69d1cf7ce46c8190a7383086eb667b51 completed April 5, 2026, 2:57 a.m.
NED2 Entity disambiguation (via description) batch_69d1d0034dc081908182e3f873a2c584 completed April 5, 2026, 2:59 a.m.
Created at: March 30, 2026, 8:30 p.m.