Triple

T1224199
Position Surface form Disambiguated ID Type / Status
Subject Federal Work-Study Program E26288 entity
Predicate alsoKnownAs P39 FINISHED
Object FWS
FWS is a U.S. federal financial aid program that provides part-time jobs to eligible college students to help them pay for educational expenses.
 E139344 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: FWS | Statement: [Federal Work-Study Program, alsoKnownAs, FWS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: FWS
Context triple: [Federal Work-Study Program, alsoKnownAs, FWS]
  • A. FFS
    FFS is the commonly used abbreviation for the Swiss Federal Railways, the national railway company of Switzerland.
  • B. FRS
    FRS is the post-nominal title used by Fellows of the Royal Society, denoting distinguished scientists elected to the United Kingdom’s national academy of sciences.
  • C. NWR
    NWR is the U.S. nationwide network of NOAA-operated radio stations that continuously broadcast weather forecasts, warnings, and emergency information.
  • D. WSFS
    WSFS (World Science Fiction Society) is the international organization that oversees the World Science Fiction Convention and administers the Hugo Awards.
  • E. WU
    WU is a leading European university in Vienna specializing in economics, business, and social sciences.
  • 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: FWS
Triple: [Federal Work-Study Program, alsoKnownAs, FWS]
Generated description
FWS is a U.S. federal financial aid program that provides part-time jobs to eligible college students to help them pay for educational expenses.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: FWS
Target entity description: FWS is a U.S. federal financial aid program that provides part-time jobs to eligible college students to help them pay for educational expenses.
  • A. FFS
    FFS is the commonly used abbreviation for the Swiss Federal Railways, the national railway company of Switzerland.
  • B. FRS
    FRS is the post-nominal title used by Fellows of the Royal Society, denoting distinguished scientists elected to the United Kingdom’s national academy of sciences.
  • C. NWR
    NWR is the U.S. nationwide network of NOAA-operated radio stations that continuously broadcast weather forecasts, warnings, and emergency information.
  • D. WSFS
    WSFS (World Science Fiction Society) is the international organization that oversees the World Science Fiction Convention and administers the Hugo Awards.
  • E. WU
    WU is a leading European university in Vienna specializing in economics, business, and social sciences.
  • 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_69a49484688c8190a1bf285eb396a8b6 completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4be233fd88190996faf4105c0b8d7 completed March 1, 2026, 10:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac832704c08190a1a73ebd90fa91b8 completed March 7, 2026, 7:57 p.m.
NEDg Description generation batch_69ac83add3608190be198ba153721d5c completed March 7, 2026, 7:59 p.m.
NED2 Entity disambiguation (via description) batch_69ac846e724081909696c8c44f2f9500 completed March 7, 2026, 8:02 p.m.
Created at: March 1, 2026, 7:47 p.m.