Triple

T7797637
Position Surface form Disambiguated ID Type / Status
Subject Covington County E180339 entity
Predicate hasSettlement P1068 FINISHED
Object Opp
Opp is a small city in southern Alabama known for its local festivals and role as a regional service and retail center for surrounding rural communities.
E695479 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: Opp | Statement: [Covington County, hasSettlement, Opp]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Opp
Context triple: [Covington County, hasSettlement, Opp]
  • A. OPP
    OPP is a division within the Technology Transformation Services focused on managing and delivering digital products and programs across the U.S. federal government.
  • B. OPS
    OPS is the abbreviated name for the Office of Peace Operations, Sanctions, and Counterterrorism, a U.S. State Department bureau focused on peacekeeping, sanctions policy, and counterterrorism efforts.
  • C. OT
    OT is the commonly used abbreviation for the Teide Observatory, a major astronomical research facility located on Tenerife in Spain’s Canary Islands.
  • D. OT
    OT is the abbreviation for Organisation Todt, the Nazi-era civil and military engineering group responsible for large-scale construction projects such as the Atlantic Wall.
  • E. OT
    OT is the station code for Oranienburger Tor, a Berlin U-Bahn station on the city’s central U6 line.
  • 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: Opp
Triple: [Covington County, hasSettlement, Opp]
Generated description
Opp is a small city in southern Alabama known for its local festivals and role as a regional service and retail center for surrounding rural communities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Opp
Target entity description: Opp is a small city in southern Alabama known for its local festivals and role as a regional service and retail center for surrounding rural communities.
  • A. OPP
    OPP is a division within the Technology Transformation Services focused on managing and delivering digital products and programs across the U.S. federal government.
  • B. OPS
    OPS is the abbreviated name for the Office of Peace Operations, Sanctions, and Counterterrorism, a U.S. State Department bureau focused on peacekeeping, sanctions policy, and counterterrorism efforts.
  • C. OT
    OT is the commonly used abbreviation for the Teide Observatory, a major astronomical research facility located on Tenerife in Spain’s Canary Islands.
  • D. OT
    OT is the abbreviation for Organisation Todt, the Nazi-era civil and military engineering group responsible for large-scale construction projects such as the Atlantic Wall.
  • E. OT
    OT is the station code for Oranienburger Tor, a Berlin U-Bahn station on the city’s central U6 line.
  • 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_69ca827d22208190b4dc5aa680edcf5d completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cae982c3b48190a35afe655fb20d55 completed March 30, 2026, 9:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69cb140684ec8190aef5d3cb2e0ea948 completed March 31, 2026, 12:23 a.m.
NEDg Description generation batch_69cb1a1414a08190912945cee30e6bc2 completed March 31, 2026, 12:49 a.m.
NED2 Entity disambiguation (via description) batch_69cb3843368881908d7c4d5a81c53a23 completed March 31, 2026, 2:58 a.m.
Created at: March 30, 2026, 4:32 p.m.