Triple
T18127431
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xinqiao area |
E433912
|
entity |
| Predicate | airportNameOrigin |
P130553
|
FINISHED |
| Object | gives its name to Hefei Xinqiao 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: gives its name to Hefei Xinqiao International Airport | Statement: [Xinqiao area, airportNameOrigin, gives its name to Hefei Xinqiao International Airport]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: airportNameOrigin Context triple: [Xinqiao area, airportNameOrigin, gives its name to Hefei Xinqiao International Airport]
-
A.
originAirportHub
Indicates that the referenced airport serves as a primary hub or main operating base for the associated airline or carrier.
-
B.
typicalOriginAirportIATA
Indicates the usual or primary origin airport for an entity, identified by its IATA airport code.
-
C.
hasOriginAirport
Indicates that something, typically a flight or journey, departs from or is associated with a specific origin airport.
-
D.
hasOriginAirportCity
Indicates that an entity (such as a flight or trip) departs from or is associated with a specific origin airport located in a given city.
-
E.
airportLinkName
Indicates the name assigned to a transportation link or connection associated with an airport.
- 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_69d8b909e8cc81908df4cc2b8ea6d11f |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddef4cd88190b16ef0d6ed3968c6 |
completed | April 19, 2026, 1:51 p.m. |
| PD | Predicate disambiguation | batch_69e43313ca788190baa224269e71de49 |
completed | April 19, 2026, 1:42 a.m. |
| PDg | Predicate description generation | batch_69e438f5ae2c8190b11dee46534fa5a9 |
completed | April 19, 2026, 2:07 a.m. |
Created at: April 10, 2026, 10:29 a.m.