Triple

T38669550
Position Surface form Disambiguated ID Type / Status
Subject Light Rail Manila Corporation E940542 entity
Predicate concessionWith P191503 FINISHED
Object Light Rail Transit Authority NE NERFINISHED

How this triple was built (2 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: Light Rail Transit Authority | Statement: [Light Rail Manila Corporation, concessionWith, Light Rail Transit Authority]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: concessionWith
Context triple: [Light Rail Manila Corporation, concessionWith, Light Rail Transit Authority]
  • A. concessionFor
    Indicates a relationship where one party grants or yields something—such as rights, privileges, or resources—to another, often as part of a negotiation or agreement.
  • B. concessionBy
    Indicates that one party grants, yields, or makes allowances to another, often accepting a demand, point, or condition despite initial opposition or differing interests.
  • C. concessionIncludes
    Indicates that one concession contains, comprises, or encompasses another concession as a part or subset.
  • D. concessionExtended
    Indicates that one party has granted or prolonged a special allowance, discount, or favorable term to another party.
  • E. concessionStart
    Indicates the point in a discourse or text where a concession begins, marking a shift to acknowledging a contrasting or limiting consideration relative to what was previously stated.
  • F. None of above. chosen

Provenance (4 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_69f76edfde348190bf6529d9f49ecd62 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fcdfbc71c481908ba7f87907b17782 completed May 7, 2026, 6:53 p.m.
PD Predicate disambiguation batch_69fcdbe580b8819087f143596b2c79c0 completed May 7, 2026, 6:37 p.m.
PDg Predicate description generation batch_69fcdfbafbf48190abe38ec0003a6419 completed May 7, 2026, 6:53 p.m.
Created at: May 3, 2026, 4:33 p.m.