Triple

T17421440
Position Surface form Disambiguated ID Type / Status
Subject Pelaw Metro station E423625 entity
Predicate hasStationCode P1289 FINISHED
Object PEL
PEL is the station code for Pelaw Metro station on the Tyne and Wear Metro network in North East England.
 E1268208 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: PEL | Statement: [Pelaw Metro station, hasStationCode, PEL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PEL
Context triple: [Pelaw Metro station, hasStationCode, PEL]
  • A. PEL
    PEL is the common abbreviation for the Lahti Pelicans, a professional ice hockey team based in Lahti, Finland.
  • B. Pe
    Pe is a Hebrew consonant letter that represents a "p" or "f" sound and has both standard and final written forms.
  • C. PSL
    PSL is a professional Twenty20 cricket league in Pakistan featuring franchise teams that compete annually.
  • D. PSL
    The PSL is Zimbabwe’s top-tier professional football league, featuring the country’s leading soccer clubs in the national championship.
  • E. PSL
    PSL is the commonly used abbreviation for the Physical Sciences Laboratory, a research facility focused on advancing knowledge and technology in the physical 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: PEL
Triple: [Pelaw Metro station, hasStationCode, PEL]
Generated description
PEL is the station code for Pelaw Metro station on the Tyne and Wear Metro network in North East England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: PEL
Target entity description: PEL is the station code for Pelaw Metro station on the Tyne and Wear Metro network in North East England.
  • A. PEL
    PEL is the common abbreviation for the Lahti Pelicans, a professional ice hockey team based in Lahti, Finland.
  • B. Pe
    Pe is a Hebrew consonant letter that represents a "p" or "f" sound and has both standard and final written forms.
  • C. PSL
    PSL is the commonly used abbreviation for the Physical Sciences Laboratory, a research facility focused on advancing knowledge and technology in the physical sciences.
  • D. PSL
    PSL is a professional Twenty20 cricket league in Pakistan featuring franchise teams that compete annually.
  • E. PSL
    The PSL is Zimbabwe’s top-tier professional football league, featuring the country’s leading soccer clubs in the national championship.
  • 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_69d889d7d27c819088486ce3f0627fa1 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e442372954819085f332efc7067ae9 completed April 19, 2026, 2:47 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01a8041f548190a076b10516ccfced completed May 11, 2026, 9:57 a.m.
NEDg Description generation batch_6a01a8d7e05c8190aceb0795a430fee7 completed May 11, 2026, 10 a.m.
NED2 Entity disambiguation (via description) batch_6a01a943fdec8190a875c7eb56c742da completed May 11, 2026, 10:02 a.m.
Created at: April 10, 2026, 5:46 a.m.