Triple

T9227690
Position Surface form Disambiguated ID Type / Status
Subject Lassen County E221728 entity
Predicate hasCommunity P2605 FINISHED
Object Termo
Termo is a small unincorporated rural community located in Lassen County in northeastern California.
 E785071 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: Termo | Statement: [Lassen County, hasCommunity, Termo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Termo
Context triple: [Lassen County, hasCommunity, Termo]
  • A. Thermi
    Thermi is a suburban town near Thessaloniki in northern Greece, known for hosting educational and research facilities as well as residential and commercial developments.
  • B. Thermon
    Thermon is an ancient Greek sanctuary site in Aetolia, best known as a major religious and political center dedicated to the worship of Apollo.
  • C. Termal
    Termal is a district in Turkey’s Yalova Province renowned for its natural hot springs and thermal spa resorts.
  • D. Therma
    Therma was an ancient settlement located on the island of Samothrace in the northern Aegean Sea.
  • E. Terim
    Terim is the surname of Fatih Terim, a prominent Turkish football manager and former player.
  • 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: Termo
Triple: [Lassen County, hasCommunity, Termo]
Generated description
Termo is a small unincorporated rural community located in Lassen County in northeastern California.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Termo
Target entity description: Termo is a small unincorporated rural community located in Lassen County in northeastern California.
  • A. Thermi
    Thermi is a suburban town near Thessaloniki in northern Greece, known for hosting educational and research facilities as well as residential and commercial developments.
  • B. Thermon
    Thermon is an ancient Greek sanctuary site in Aetolia, best known as a major religious and political center dedicated to the worship of Apollo.
  • C. Termal
    Termal is a district in Turkey’s Yalova Province renowned for its natural hot springs and thermal spa resorts.
  • D. Therma
    Therma was an ancient settlement located on the island of Samothrace in the northern Aegean Sea.
  • E. Terim
    Terim is the surname of Fatih Terim, a prominent Turkish football manager and former player.
  • 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_69ca83ec8db08190a9110df8232885d2 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccdaa0a7608190b10d913e5e3d1b3e completed April 1, 2026, 8:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0665cd43481908287b6d4858d63a1 completed April 4, 2026, 1:16 a.m.
NEDg Description generation batch_69d06771ba808190a7b10f664425e76e completed April 4, 2026, 1:20 a.m.
NED2 Entity disambiguation (via description) batch_69d068087ab881908edcfd384a2e3f07 completed April 4, 2026, 1:23 a.m.
Created at: March 30, 2026, 7:28 p.m.