Triple

T5597608
Position Surface form Disambiguated ID Type / Status
Subject Federal Land Policy and Management Act E147036 entity
Predicate shortName P43 FINISHED
Object FLPMA
FLPMA is a 1976 U.S. federal law that governs the management and conservation of public lands administered by the Bureau of Land Management.
 E530062 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: FLPMA | Statement: [Federal Land Policy and Management Act, shortName, FLPMA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: FLPMA
Context triple: [Federal Land Policy and Management Act, shortName, FLPMA]
  • A. LPMA
    LPMA is the ICAO airport code for Cristiano Ronaldo Madeira International Airport, the main commercial airport serving the Portuguese island of Madeira.
  • B. FSFLA
    FSFLA is the Latin American branch of the Free Software Foundation, dedicated to promoting and defending free software and users' digital freedoms across the region.
  • C. FRL
    FRL is the IATA airport code for Forlì International Airport in Forlì, Italy.
  • D. FLG
    FLG is the ICAO airline designator used to identify Endeavor Air in international aviation operations.
  • E. PFA
    PFA is a Danish pension fund that invests in large infrastructure projects such as offshore wind farms.
  • 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: FLPMA
Triple: [Federal Land Policy and Management Act, shortName, FLPMA]
Generated description
FLPMA is a 1976 U.S. federal law that governs the management and conservation of public lands administered by the Bureau of Land Management.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: FLPMA
Target entity description: FLPMA is a 1976 U.S. federal law that governs the management and conservation of public lands administered by the Bureau of Land Management.
  • A. LPMA
    LPMA is the ICAO airport code for Cristiano Ronaldo Madeira International Airport, the main commercial airport serving the Portuguese island of Madeira.
  • B. FSFLA
    FSFLA is the Latin American branch of the Free Software Foundation, dedicated to promoting and defending free software and users' digital freedoms across the region.
  • C. FRL
    FRL is the IATA airport code for Forlì International Airport in Forlì, Italy.
  • D. FLG
    FLG is the ICAO airline designator used to identify Endeavor Air in international aviation operations.
  • E. PFA
    PFA is a Danish pension fund that invests in large infrastructure projects such as offshore wind farms.
  • 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_69c009043d648190a7af89698ccf1e3e completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c020c126088190914ef7b575d800e4 completed March 22, 2026, 5:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0286eaa2881909cbb0bb20f4987fe completed March 22, 2026, 5:35 p.m.
NEDg Description generation batch_69c037fd7be48190b7baf9fb5ffb7b8c completed March 22, 2026, 6:42 p.m.
NED2 Entity disambiguation (via description) batch_69c03899a0788190b41c048e864ce70c completed March 22, 2026, 6:44 p.m.
Created at: March 22, 2026, 3:38 p.m.