Triple
T26905465
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ExpressTram |
E677238
|
entity |
| Predicate | isAirside |
P161319
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [ExpressTram, isAirside, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isAirside Context triple: [ExpressTram, isAirside, true]
-
A.
hasAirsideCenter
Indicates that one entity serves as or contains the designated airside center associated with another entity.
-
B.
hasAirsideConnection
Indicates that there is a direct, secure connection between areas past security (airside) of two locations, allowing passengers to transfer without re-clearing security or immigration.
-
C.
isLocatedAtAirportType
Indicates that one entity is situated at, or associated with, an airport of a specified type (e.g., international, regional, military).
-
D.
isAirBase
Indicates that the subject entity functions as a military air base, i.e., a facility used for operating, housing, and supporting aircraft and related activities.
-
E.
hasRunwayAccessTo
Indicates that one location or facility is directly connected to another via a usable runway, allowing aircraft to move between them without leaving runway infrastructure.
- 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_69eee9bcef1c8190be88586bb902bb9b |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69f61fb2e9808190a27e6fb40a310d9d |
completed | May 2, 2026, 4 p.m. |
| PD | Predicate disambiguation | batch_69f611af72ac819094598dd2530d7411 |
completed | May 2, 2026, 3:01 p.m. |
| PDg | Predicate description generation | batch_69f6125e54e0819088ee33a20efcc9e6 |
completed | May 2, 2026, 3:03 p.m. |
Created at: April 27, 2026, 5:58 a.m.