Triple

T15928893
Position Surface form Disambiguated ID Type / Status
Subject Lore Lindu National Park E386272 entity
Predicate hasSpecies P965 FINISHED
Object mountain anoa
The mountain anoa is a small, endangered dwarf buffalo native to the highland forests of Sulawesi, Indonesia.
E1184924 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: mountain anoa | Statement: [Lore Lindu National Park, hasSpecies, mountain anoa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: mountain anoa
Context triple: [Lore Lindu National Park, hasSpecies, mountain anoa]
  • A. Anomabo
    Anomabo is a historic coastal town in Ghana’s Central Region, known for its role in the transatlantic slave trade and its significance to the Fante people.
  • B. Okapa
    Okapa is a rural town in Papua New Guinea known for its highland culture and production of premium coffee.
  • C. Kuno
    Kuno is a masculine given name of German origin, historically borne by various nobles and notable figures in German-speaking regions.
  • D. Kuno
    Kuno is the rebellious central character in E.M. Forster’s dystopian science fiction story "The Machine Stops," who challenges the oppressive, technology-dependent society in which he lives.
  • E. Anoat
    Anoat is a remote, sparsely populated star system in the Star Wars universe, known primarily for its proximity to the Hoth system and its role as a backwater region under Imperial control.
  • 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: mountain anoa
Triple: [Lore Lindu National Park, hasSpecies, mountain anoa]
Generated description
The mountain anoa is a small, endangered dwarf buffalo native to the highland forests of Sulawesi, Indonesia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: mountain anoa
Target entity description: The mountain anoa is a small, endangered dwarf buffalo native to the highland forests of Sulawesi, Indonesia.
  • A. Anomabo
    Anomabo is a historic coastal town in Ghana’s Central Region, known for its role in the transatlantic slave trade and its significance to the Fante people.
  • B. Okapa
    Okapa is a rural town in Papua New Guinea known for its highland culture and production of premium coffee.
  • C. Kuno
    Kuno is a masculine given name of German origin, historically borne by various nobles and notable figures in German-speaking regions.
  • D. Kuno
    Kuno is the rebellious central character in E.M. Forster’s dystopian science fiction story "The Machine Stops," who challenges the oppressive, technology-dependent society in which he lives.
  • E. Anoat
    Anoat is a remote, sparsely populated star system in the Star Wars universe, known primarily for its proximity to the Hoth system and its role as a backwater region under Imperial control.
  • 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_69d86da750008190987eb26be3f6c118 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156a39abc8190927818f6e185033a completed April 16, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb5b0833081909668c042234b5b75 completed May 9, 2026, 10:31 p.m.
NEDg Description generation batch_69ffb6a526188190be80658fb23cacbd completed May 9, 2026, 10:35 p.m.
NED2 Entity disambiguation (via description) batch_69ffb71cea948190a1c5998654aee8d5 completed May 9, 2026, 10:37 p.m.
Created at: April 10, 2026, 4:52 a.m.