Triple
T14607630
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sulaimaniyah International Airport |
E342872
|
entity |
| Predicate | isLocatedInPartOfCountry |
P45703
|
FINISHED |
| Object | northern Iraq |
—
|
LITERAL FINISHED |
How this triple was built (2 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: northern Iraq | Statement: [Sulaimaniyah International Airport, isLocatedInPartOfCountry, northern Iraq]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isLocatedInPartOfCountry Context triple: [Sulaimaniyah International Airport, isLocatedInPartOfCountry, northern Iraq]
-
A.
hasPartInCountry
Indicates that an entity has a component, section, or portion that is located within a specified country.
-
B.
isLocatedInPresentDayCountry
Indicates that an entity’s location is specified in terms of the modern, currently recognized country that encompasses it.
-
C.
meetsInCountry
Indicates that two or more entities have an in-person meeting that takes place within the specified country.
-
D.
alsoInCountry
Indicates that something located in one country is additionally located or present in another specified country.
-
E.
isInGeopoliticalEntity
chosen
Indicates that one entity is located within, or is a part of, a specific geopolitical unit such as a country, state, or city.
- F. None of above.
Provenance (3 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. |
| PD | Predicate disambiguation | batch_69de656f9f4c81909f815b6629a9ee39 |
completed | April 14, 2026, 4:03 p.m. |
Created at: April 10, 2026, 1:25 a.m.