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.