Triple
T7911889
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madurai International Airport |
E183718
|
entity |
| Predicate | hasCustomsImmigration |
P7852
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Madurai International Airport, hasCustomsImmigration, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCustomsImmigration Context triple: [Madurai International Airport, hasCustomsImmigration, yes]
-
A.
hasCustomsAndImmigration
chosen
Indicates that customs and immigration control services are present or provided at a given location or facility.
-
B.
hasCustomsCheckpoint
Indicates that a location or route includes an official customs inspection point where goods, vehicles, or people are checked for compliance with border regulations.
-
C.
hasBorderControlStatus
Indicates the type or condition of border control that applies to a given entity or location.
-
D.
hasConsularEntranceOn
Indicates that a consular facility or office has an entrance located on a specified street, side, or access point.
-
E.
hasBorderCrossing
Indicates that there exists a point or facility where movement or transit is possible between the boundaries of two adjacent regions or jurisdictions.
- 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_69ca828dec0c81908b8f55a4dbbb53ff |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a725b8c8190a530adb3107a95dd |
completed | March 31, 2026, 3:07 a.m. |
| PD | Predicate disambiguation | batch_69cae92f9498819085277879e59aa072 |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 5:04 p.m.