Triple

T7753528
Position Surface form Disambiguated ID Type / Status
Subject FDNY Engine 163 E175830 entity
Predicate abbreviation P43 FINISHED
Object E163
E163 is a New York City Fire Department engine company that provides firefighting and emergency response services within its assigned area.
E685504 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: E163 | Statement: [FDNY Engine 163, abbreviation, E163]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: E163
Context triple: [FDNY Engine 163, abbreviation, E163]
  • A. E134
    E134 is a major east–west European highway in Norway that connects the country’s western fjord region with its southeastern areas through several long tunnels and mountain passes.
  • B. E18
    E18 is a major trans-European road that runs from Craigavon in Northern Ireland through Scotland, Norway, Sweden, and Finland to Saint Petersburg in Russia.
  • C. E1
    E1 is a central London postcode district covering parts of areas such as Whitechapel, Stepney, and Spitalfields in the East End.
  • D. E6
    E6 is a major north–south European route running through Norway and Sweden, forming one of Scandinavia’s primary arterial highways.
  • E. E313
    E313 is a major Belgian motorway connecting Antwerp with Liège and serving as a key east–west transport corridor through the Limburg region.
  • 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: E163
Triple: [FDNY Engine 163, abbreviation, E163]
Generated description
E163 is a New York City Fire Department engine company that provides firefighting and emergency response services within its assigned area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: E163
Target entity description: E163 is a New York City Fire Department engine company that provides firefighting and emergency response services within its assigned area.
  • A. E134
    E134 is a major east–west European highway in Norway that connects the country’s western fjord region with its southeastern areas through several long tunnels and mountain passes.
  • B. E18
    E18 is a major trans-European road that runs from Craigavon in Northern Ireland through Scotland, Norway, Sweden, and Finland to Saint Petersburg in Russia.
  • C. E1
    E1 is a central London postcode district covering parts of areas such as Whitechapel, Stepney, and Spitalfields in the East End.
  • D. E6
    E6 is a major north–south European route running through Norway and Sweden, forming one of Scandinavia’s primary arterial highways.
  • E. E313
    E313 is a major Belgian motorway connecting Antwerp with Liège and serving as a key east–west transport corridor through the Limburg region.
  • 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_69c6996180088190832e38e8d83ff54a completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c703b4b54c819088ffe918ce5c7de4 completed March 27, 2026, 10:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8be5a649c81909c94d629348b34fc completed March 29, 2026, 5:53 a.m.
NEDg Description generation batch_69c8bf06242c8190b38bae041484096d completed March 29, 2026, 5:56 a.m.
NED2 Entity disambiguation (via description) batch_69c8bf5aa1348190a5c369bece6fb6db completed March 29, 2026, 5:57 a.m.
Created at: March 27, 2026, 4:08 p.m.