Triple

T12653803
Position Surface form Disambiguated ID Type / Status
Subject Loma E302229 entity
Predicate alternativeName P39 FINISHED
Object Looma
Looma is an alternative name for Loma, which may refer to various places, peoples, or entities sharing that designation.
 E998833 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: Looma | Statement: [Loma, alternativeName, Looma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Looma
Context triple: [Loma, alternativeName, Looma]
  • A. Lo’ak
    Lo’ak is a central Na’vi character in James Cameron’s Avatar film series, known as the rebellious and empathetic son of Jake Sully and Neytiri.
  • B. Laiolo
    Laiolo is an alternate name for the Laiyolo language, an Austronesian language spoken in parts of Indonesia.
  • C. Oxlumo
    Oxlumo is an RNA interference (RNAi) therapeutic used to treat primary hyperoxaluria type 1 by reducing hepatic oxalate production.
  • D. Lompoc
    Lompoc is a small city in California’s Central Coast region known for its proximity to Vandenberg Space Force Base, flower fields, and local wine production.
  • E. Paronto
    Paronto is the surname of Kris Paronto, a former U.S. Army Ranger and private security contractor known for his role in the 2012 Benghazi attack.
  • 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: Looma
Triple: [Loma, alternativeName, Looma]
Generated description
Looma is an alternative name for Loma, which may refer to various places, peoples, or entities sharing that designation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Looma
Target entity description: Looma is an alternative name for Loma, which may refer to various places, peoples, or entities sharing that designation.
  • A. Lo’ak
    Lo’ak is a central Na’vi character in James Cameron’s Avatar film series, known as the rebellious and empathetic son of Jake Sully and Neytiri.
  • B. Laiolo
    Laiolo is an alternate name for the Laiyolo language, an Austronesian language spoken in parts of Indonesia.
  • C. Oxlumo
    Oxlumo is an RNA interference (RNAi) therapeutic used to treat primary hyperoxaluria type 1 by reducing hepatic oxalate production.
  • D. Lompoc
    Lompoc is a small city in California’s Central Coast region known for its proximity to Vandenberg Space Force Base, flower fields, and local wine production.
  • E. Paronto
    Paronto is the surname of Kris Paronto, a former U.S. Army Ranger and private security contractor known for his role in the 2012 Benghazi attack.
  • 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_69d7bded71a88190bb76e2413af9ea66 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96160730c81909e1aa3efb51bf159 completed April 10, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6719c18508190a9c28b2526e6b336 completed May 2, 2026, 9:50 p.m.
NEDg Description generation batch_69f6749c2ddc8190945270e6e5b210dd completed May 2, 2026, 10:03 p.m.
NED2 Entity disambiguation (via description) batch_69f675c42fec8190b60751c0db88f3b6 completed May 2, 2026, 10:08 p.m.
Created at: April 9, 2026, 5:18 p.m.