Triple

T15730749
Position Surface form Disambiguated ID Type / Status
Subject Freeport station E381337 entity
Predicate code P1537 FINISHED
Object FPT
FPT is the station code used to identify Freeport station in transportation and rail scheduling systems.
 E1174115 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: FPT | Statement: [Freeport station, code, FPT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: FPT
Context triple: [Freeport station, code, FPT]
  • A. VNPT
    VNPT is a major Vietnamese state-owned telecommunications company providing internet, mobile, and related communication services nationwide.
  • B. FPC
    FPC is the abbreviated name of the Federal Passenger Company, a major Russian railway operator specializing in long-distance and suburban passenger transport.
  • C. FPC
    FPC is the common abbreviation for the Farah Palmer Cup, New Zealand’s premier women’s provincial rugby union competition.
  • D. Viettel
    Viettel is a major Vietnamese telecommunications company and mobile network operator known for providing widespread phone and internet services across Vietnam and in several international markets.
  • E. FCT
    FCT is the commonly used abbreviation for FC Twente, a professional football club based in Enschede, Netherlands.
  • 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: FPT
Triple: [Freeport station, code, FPT]
Generated description
FPT is the station code used to identify Freeport station in transportation and rail scheduling systems.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: FPT
Target entity description: FPT is the station code used to identify Freeport station in transportation and rail scheduling systems.
  • A. VNPT
    VNPT is a major Vietnamese state-owned telecommunications company providing internet, mobile, and related communication services nationwide.
  • B. FPC
    FPC is the abbreviated name of the Federal Passenger Company, a major Russian railway operator specializing in long-distance and suburban passenger transport.
  • C. FPC
    FPC is the common abbreviation for the Farah Palmer Cup, New Zealand’s premier women’s provincial rugby union competition.
  • D. Viettel
    Viettel is a major Vietnamese telecommunications company and mobile network operator known for providing widespread phone and internet services across Vietnam and in several international markets.
  • E. FCT
    FCT is the commonly used abbreviation for FC Twente, a professional football club based in Enschede, Netherlands.
  • 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_69d86d9cdb648190bf3171be0bd7d872 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04fb61cb881908b158609c1ccfa1e completed April 16, 2026, 2:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff82fcb4e4819097bd0591bbcc3b71 completed May 9, 2026, 6:54 p.m.
NEDg Description generation batch_69ff83ca33d08190816130bf2ea735df completed May 9, 2026, 6:58 p.m.
NED2 Entity disambiguation (via description) batch_69ff846436e48190b711da134c9a3b81 completed May 9, 2026, 7 p.m.
Created at: April 10, 2026, 4:46 a.m.