Triple
T26626880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tunxi District |
E668377
|
entity |
| Predicate | airportConnection |
P23780
|
FINISHED |
| Object | connected to domestic flight network via Huangshan Tunxi International Airport |
—
|
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: connected to domestic flight network via Huangshan Tunxi International Airport | Statement: [Tunxi District, airportConnection, connected to domestic flight network via Huangshan Tunxi International Airport]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: airportConnection Context triple: [Tunxi District, airportConnection, connected to domestic flight network via Huangshan Tunxi International Airport]
-
A.
airportStation
Indicates a location functions as an airport facility where air transport operations occur.
-
B.
airportUse
Indicates that an airport is used or utilized by a particular entity, such as an airline, organization, or service.
-
C.
airportLocationRelation
Indicates a spatial or administrative relationship specifying where an airport is located relative to a geographic area or jurisdiction.
-
D.
connectsWithAirport
chosen
Indicates that there is a direct transportation or operational link established between an entity and an airport.
-
E.
associatedAirport
Indicates a relationship where an entity is linked or connected to a specific airport, typically as its relevant or corresponding airport.
- 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_69ee9cff507c819092b95bf7219a702e |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f676c440708190a4b9974e95d2291a |
completed | May 2, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69f675fd59608190b246383435e68fce |
completed | May 2, 2026, 10:09 p.m. |
Created at: April 27, 2026, 2:23 a.m.