Triple

T2792350
Position Surface form Disambiguated ID Type / Status
Subject GNU Binutils E61957 entity
Predicate supportsFormat P203 FINISHED
Object ELF
ELF (Executable and Linkable Format) is a common standard file format used for executables, object code, shared libraries, and core dumps on Unix-like operating systems.
 E299174 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: ELF | Statement: [GNU Binutils, supportsFormat, ELF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ELF
Context triple: [GNU Binutils, supportsFormat, ELF]
  • A. Elf
    Elf is a popular 2003 Christmas comedy film starring Will Ferrell as a human raised by elves who travels to New York City to find his real father.
  • B. ELCH
    The ELCH is a regional Protestant church body in Germany that forms part of the Evangelical Church in Germany (EKD) and follows the Lutheran tradition.
  • C. Elphi
    Elphi is the popular nickname for Hamburg’s Elbphilharmonie, a striking modern concert hall and architectural landmark on the Elbe River.
  • D. El
    El is the chief god of the ancient Canaanite pantheon, often depicted as a patriarchal creator and father of other deities.
  • E. El
    El is the common nickname for Philadelphia’s elevated Market–Frankford rapid transit line operated by SEPTA.
  • 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: ELF
Triple: [GNU Binutils, supportsFormat, ELF]
Generated description
ELF (Executable and Linkable Format) is a common standard file format used for executables, object code, shared libraries, and core dumps on Unix-like operating systems.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ELF
Target entity description: ELF (Executable and Linkable Format) is a common standard file format used for executables, object code, shared libraries, and core dumps on Unix-like operating systems.
  • A. Elf
    Elf is a popular 2003 Christmas comedy film starring Will Ferrell as a human raised by elves who travels to New York City to find his real father.
  • B. ELCH
    The ELCH is a regional Protestant church body in Germany that forms part of the Evangelical Church in Germany (EKD) and follows the Lutheran tradition.
  • C. Elphi
    Elphi is the popular nickname for Hamburg’s Elbphilharmonie, a striking modern concert hall and architectural landmark on the Elbe River.
  • D. El
    El is the chief god of the ancient Canaanite pantheon, often depicted as a patriarchal creator and father of other deities.
  • E. El
    El is the common nickname for Philadelphia’s elevated Market–Frankford rapid transit line operated by SEPTA.
  • 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_69ab4b7f51d881908768300ebd2fbdae completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abddd107ac81908eb1a6946834eee3 completed March 7, 2026, 8:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc65ebe788190859012e930918b05 completed March 10, 2026, 7:21 a.m.
NEDg Description generation batch_69afc6c6c620819098b76db174a6f98e completed March 10, 2026, 7:22 a.m.
NED2 Entity disambiguation (via description) batch_69afc72b2e3c8190aad78ac8924f07af completed March 10, 2026, 7:24 a.m.
Created at: March 6, 2026, 9:58 p.m.