Triple

T3930169
Position Surface form Disambiguated ID Type / Status
Subject KYW (AM) E93374 entity
Predicate sisterStation P15137 FINISHED
Object WOGL
WOGL is a Philadelphia-based FM radio station known for its classic hits format and long-standing presence in the local broadcast market.
 E399300 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: WOGL | Statement: [KYW (AM), sisterStation, WOGL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: WOGL
Context triple: [KYW (AM), sisterStation, WOGL]
  • A. WGL
    WGL is the common abbreviation for the Leibniz Association, a major German network of non-university research institutes spanning a wide range of scientific disciplines.
  • B. WOFL
    WOFL is a Fox-affiliated television station serving the Orlando, Florida media market.
  • C. WLG
    WLG is the three-letter IATA airport code assigned to Wellington Airport, the main international gateway to New Zealand’s capital city.
  • D. WUG
    WUG is the vehicle registration code for the Weißenburg-Gunzenhausen district in Middle Franconia, Bavaria, Germany.
  • E. WOB
    WOB is the vehicle registration code used on license plates for cars registered in Wolfsburg, Germany.
  • 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: WOGL
Triple: [KYW (AM), sisterStation, WOGL]
Generated description
WOGL is a Philadelphia-based FM radio station known for its classic hits format and long-standing presence in the local broadcast market.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: WOGL
Target entity description: WOGL is a Philadelphia-based FM radio station known for its classic hits format and long-standing presence in the local broadcast market.
  • A. WGL
    WGL is the common abbreviation for the Leibniz Association, a major German network of non-university research institutes spanning a wide range of scientific disciplines.
  • B. WOFL
    WOFL is a Fox-affiliated television station serving the Orlando, Florida media market.
  • C. WLG
    WLG is the three-letter IATA airport code assigned to Wellington Airport, the main international gateway to New Zealand’s capital city.
  • D. WUG
    WUG is the vehicle registration code for the Weißenburg-Gunzenhausen district in Middle Franconia, Bavaria, Germany.
  • E. WOB
    WOB is the vehicle registration code used on license plates for cars registered in Wolfsburg, Germany.
  • 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_69aed96bfa1081908f7b30f2c647dee6 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69aeeda7cf3c81909df30744bddbad7e completed March 9, 2026, 3:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5288094408190b5fece72ead94ec1 completed March 14, 2026, 9:21 a.m.
NEDg Description generation batch_69b5293b41748190929665970712707a completed March 14, 2026, 9:24 a.m.
NED2 Entity disambiguation (via description) batch_69b529e9080481908ff0ec30b295cfc3 completed March 14, 2026, 9:27 a.m.
Created at: March 9, 2026, 3:23 p.m.