Triple

T8181528
Position Surface form Disambiguated ID Type / Status
Subject San Martín Line E191072 entity
Predicate formerOperator P179 FINISHED
Object UGOFE
UGOFE was an Argentine railway consortium formed by several private operators to temporarily manage and rehabilitate commuter rail services in the Buenos Aires metropolitan area after the revocation of previous concessions.
E716639 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: UGOFE | Statement: [San Martín Line, formerOperator, UGOFE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UGOFE
Context triple: [San Martín Line, formerOperator, UGOFE]
  • A. GUF
    GUF is the three-letter ISO 3166-1 alpha-3 country code assigned to French Guiana.
  • B. Ufgood
    Ufgood is the surname of Willow Ufgood, the central aspiring sorcerer and farmer protagonist from the fantasy film "Willow."
  • C. Uffelte
    Uffelte is a small village in the Dutch province of Drenthe, known for its rural character and traditional Saxon farmhouses.
  • D. Goito
    Goito is a small historic town in the Lombardy region of northern Italy, situated along the Mincio River.
  • E. Ifoghas
    The Ifoghas are a prominent Tuareg clan from the Adrar des Ifoghas region of northeastern Mali, historically influential in Saharan trade and regional politics.
  • 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: UGOFE
Triple: [San Martín Line, formerOperator, UGOFE]
Generated description
UGOFE was an Argentine railway consortium formed by several private operators to temporarily manage and rehabilitate commuter rail services in the Buenos Aires metropolitan area after the revocation of previous concessions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: UGOFE
Target entity description: UGOFE was an Argentine railway consortium formed by several private operators to temporarily manage and rehabilitate commuter rail services in the Buenos Aires metropolitan area after the revocation of previous concessions.
  • A. GUF
    GUF is the three-letter ISO 3166-1 alpha-3 country code assigned to French Guiana.
  • B. Ufgood
    Ufgood is the surname of Willow Ufgood, the central aspiring sorcerer and farmer protagonist from the fantasy film "Willow."
  • C. Uffelte
    Uffelte is a small village in the Dutch province of Drenthe, known for its rural character and traditional Saxon farmhouses.
  • D. Goito
    Goito is a small historic town in the Lombardy region of northern Italy, situated along the Mincio River.
  • E. Ifoghas
    The Ifoghas are a prominent Tuareg clan from the Adrar des Ifoghas region of northeastern Mali, historically influential in Saharan trade and regional politics.
  • 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_69ca82c4538081909404325aa5639483 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4c4c2e388190b86854f8b1765e61 completed March 31, 2026, 4:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbf8e8f0c819096f449760ce0d240 completed April 1, 2026, 6:47 a.m.
NEDg Description generation batch_69ccc315132c8190bb0ad49232ccc3b8 completed April 1, 2026, 7:02 a.m.
NED2 Entity disambiguation (via description) batch_69ccd87585148190a2d8b81ab352d123 completed April 1, 2026, 8:33 a.m.
Created at: March 30, 2026, 5:40 p.m.