Triple

T16420048
Position Surface form Disambiguated ID Type / Status
Subject İzmir Atatürk High School E398792 entity
Predicate hasAbbreviation P43 FINISHED
Object İAL
İAL is the commonly used abbreviation for İzmir Atatürk High School, a prominent and long-established secondary school in İzmir, Turkey.
E1211490 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: İAL | Statement: [İzmir Atatürk High School, hasAbbreviation, İAL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: İAL
Context triple: [İzmir Atatürk High School, hasAbbreviation, İAL]
  • A. IZL
    IZL, short for Etzel, was a Zionist paramilitary organization that operated in Mandatory Palestine before the establishment of the State of Israel.
  • B. ILG
    ILG is the FAA location identifier for Wilmington Airport, a public airport serving the Wilmington, Delaware area.
  • C. ILY
    ILY is the IATA airport code for Islay Airport, which serves the Isle of Islay in Scotland.
  • D. ILW
    ILW is the IATA airline designator assigned to the Soviet-era wide-body passenger aircraft Ilyushin Il-86.
  • E. ILLK
    ILLK is the railway station code assigned to Łódź Kaliska, a major train station in Łódź, Poland.
  • 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: İAL
Triple: [İzmir Atatürk High School, hasAbbreviation, İAL]
Generated description
İAL is the commonly used abbreviation for İzmir Atatürk High School, a prominent and long-established secondary school in İzmir, Turkey.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: İAL
Target entity description: İAL is the commonly used abbreviation for İzmir Atatürk High School, a prominent and long-established secondary school in İzmir, Turkey.
  • A. IZL
    IZL, short for Etzel, was a Zionist paramilitary organization that operated in Mandatory Palestine before the establishment of the State of Israel.
  • B. ILG
    ILG is the FAA location identifier for Wilmington Airport, a public airport serving the Wilmington, Delaware area.
  • C. ILY
    ILY is the IATA airport code for Islay Airport, which serves the Isle of Islay in Scotland.
  • D. ILW
    ILW is the IATA airline designator assigned to the Soviet-era wide-body passenger aircraft Ilyushin Il-86.
  • E. ILLK
    ILLK is the railway station code assigned to Łódź Kaliska, a major train station in Łódź, Poland.
  • 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_69d87f2b9024819085c20e52de95d583 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e328f5c1bc8190a679f35bd6c0bc97 completed April 18, 2026, 6:47 a.m.
NED1 Entity disambiguation (via context triple) batch_6a003c6e882c81908fae034f1b75b7ee completed May 10, 2026, 8:06 a.m.
NEDg Description generation batch_6a003ed0bc7c8190b50e5f91cbdde6b7 completed May 10, 2026, 8:16 a.m.
NED2 Entity disambiguation (via description) batch_6a003f5eb85c81909aa101efccff7b86 completed May 10, 2026, 8:18 a.m.
Created at: April 10, 2026, 5:09 a.m.