Triple
T14607617
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sulaimaniyah International Airport |
E342872
|
entity |
| Predicate | ICAOCode |
P419
|
FINISHED |
| Object |
ORSU
ORSU is the ICAO airport code assigned to Sulaimaniyah International Airport in the Kurdistan Region of Iraq.
|
E1108333
|
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: ORSU | Statement: [Sulaimaniyah International Airport, ICAOCode, ORSU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ORSU Context triple: [Sulaimaniyah International Airport, ICAOCode, ORSU]
-
A.
Ors
Ors is a small commune in northern France, known for its World War I history and military cemetery.
-
B.
ORU
ORU is the IATA airport code for Juan Mendoza Airport, a regional airport serving the city of Oruro in Bolivia.
-
C.
ORU
ORU is a private Christian liberal arts university in Tulsa, Oklahoma, founded by evangelist Oral Roberts and known for integrating faith-based education with a diverse range of academic programs.
-
D.
URS
URS was the FIFA country code used to represent the Soviet Union national football team in international competitions.
-
E.
Oroshori
Oroshori is an Eastern Iranian Pamiri language spoken in parts of Tajikistan and Afghanistan, closely related to Shughni and sharing many linguistic features with it.
- 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: ORSU Triple: [Sulaimaniyah International Airport, ICAOCode, ORSU]
Generated description
ORSU is the ICAO airport code assigned to Sulaimaniyah International Airport in the Kurdistan Region of Iraq.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ORSU Target entity description: ORSU is the ICAO airport code assigned to Sulaimaniyah International Airport in the Kurdistan Region of Iraq.
-
A.
Ors
Ors is a small commune in northern France, known for its World War I history and military cemetery.
-
B.
ORU
ORU is the IATA airport code for Juan Mendoza Airport, a regional airport serving the city of Oruro in Bolivia.
-
C.
ORU
ORU is a private Christian liberal arts university in Tulsa, Oklahoma, founded by evangelist Oral Roberts and known for integrating faith-based education with a diverse range of academic programs.
-
D.
URS
URS was the FIFA country code used to represent the Soviet Union national football team in international competitions.
-
E.
Oroshori
Oroshori is an Eastern Iranian Pamiri language spoken in parts of Tajikistan and Afghanistan, closely related to Shughni and sharing many linguistic features with it.
- 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_69d822dec68081908c2553145c4051dc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb44d327c8190a8d20568429d0f80 |
completed | April 14, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd94d09e988190a2a2a1332397b412 |
completed | May 8, 2026, 7:46 a.m. |
| NEDg | Description generation | batch_69fd9828129c8190bd7445e99dadc618 |
completed | May 8, 2026, 8 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd98cf0bcc81909dac826a32daaf04 |
completed | May 8, 2026, 8:03 a.m. |
Created at: April 10, 2026, 1:25 a.m.