Triple
T31596952
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kerman International Airport |
E806242
|
entity |
| Predicate | hasDomesticServices |
P178835
|
FINISHED |
| Object | domestic routes within Iran |
—
|
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: domestic routes within Iran | Statement: [Kerman International Airport, hasDomesticServices, domestic routes within Iran]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDomesticServices Context triple: [Kerman International Airport, hasDomesticServices, domestic routes within Iran]
-
A.
isDomestic
Indicates that an entity exists or is used primarily within a home or internal context rather than in a foreign or wild environment.
-
B.
hadDomesticComponentIn
Indicates that an entity included or involved a domestic (within the same country) component as part of its overall composition, activity, or operation during a specified context or period.
-
C.
hasDailyService
Indicates that a service or operation occurs every day on a regular, scheduled basis.
-
D.
servesHouse
Indicates that an entity provides service, support, or functions on behalf of a particular house or household.
-
E.
hasCleaningService
Indicates that an entity receives or is provided with a cleaning service from another entity.
- F. None of above. chosen
Provenance (4 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_69f348d54ccc8190a03b5df9a2b40b25 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f71422adac8190a5ceb32dcf820833 |
completed | May 3, 2026, 9:23 a.m. |
| PD | Predicate disambiguation | batch_69f712764d2c819081b64b27e5de4a13 |
completed | May 3, 2026, 9:16 a.m. |
| PDg | Predicate description generation | batch_69f71421e8d08190807ccfb15d0f0ddb |
completed | May 3, 2026, 9:23 a.m. |
Created at: April 30, 2026, 10:31 p.m.