Triple

T3326191
Position Surface form Disambiguated ID Type / Status
Subject Environmental Restoration Program (New York State) E69921 entity
Predicate alsoKnownAs P39 FINISHED
Object ERP
ERP is a New York State initiative focused on cleaning up and restoring contaminated or environmentally degraded sites.
 E349205 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: ERP | Statement: [Environmental Restoration Program (New York State), alsoKnownAs, ERP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ERP
Context triple: [Environmental Restoration Program (New York State), alsoKnownAs, ERP]
  • A. ERP
    ERP is the commonly used abbreviation for the Marshall Plan, the U.S.-led post–World War II European Recovery Program that financed and coordinated Western Europe’s economic reconstruction.
  • B. ERP
    ERP was a Salvadoran leftist guerrilla organization that became one of the key factions within the Farabundo Martí National Liberation Front (FMLN) during El Salvador’s civil war.
  • C. SAP
    SAP is the commonly used abbreviation for the Société d’Anthropologie de Paris, a French learned society dedicated to the study of anthropology.
  • D. SAP
    SAP was the former official currency of South Africa, used before the adoption of the South African rand.
  • E. SAP
    SAP is the station code for Lisbon Santa Apolónia, one of the main railway terminals in Lisbon, Portugal.
  • 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: ERP
Triple: [Environmental Restoration Program (New York State), alsoKnownAs, ERP]
Generated description
ERP is a New York State initiative focused on cleaning up and restoring contaminated or environmentally degraded sites.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ERP
Target entity description: ERP is a New York State initiative focused on cleaning up and restoring contaminated or environmentally degraded sites.
  • A. ERP
    ERP is the commonly used abbreviation for the Marshall Plan, the U.S.-led post–World War II European Recovery Program that financed and coordinated Western Europe’s economic reconstruction.
  • B. ERP
    ERP was a Salvadoran leftist guerrilla organization that became one of the key factions within the Farabundo Martí National Liberation Front (FMLN) during El Salvador’s civil war.
  • C. SAP
    SAP is the commonly used abbreviation for the Société d’Anthropologie de Paris, a French learned society dedicated to the study of anthropology.
  • D. SAP
    SAP was the former official currency of South Africa, used before the adoption of the South African rand.
  • E. SAP
    SAP is the station code for Lisbon Santa Apolónia, one of the main railway terminals in Lisbon, Portugal.
  • 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_69ad85a1829881908942c14075644d0d completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb16dc170819086a63e033e17d8b3 completed March 8, 2026, 5:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69b31a7ce34c81908df0c30a41fd925c completed March 12, 2026, 7:56 p.m.
NEDg Description generation batch_69b31c368e4c8190a011833fce090a7d completed March 12, 2026, 8:04 p.m.
NED2 Entity disambiguation (via description) batch_69b31d3fa6088190a5abf858c01c25bc completed March 12, 2026, 8:08 p.m.
Created at: March 8, 2026, 3:12 p.m.