Triple
T11524933
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seoul–Sydney |
E273267
|
entity |
| Predicate | servedByFlagCarrierOfAustralia |
P99947
|
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: [Seoul–Sydney, servedByFlagCarrierOfAustralia, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servedByFlagCarrierOfAustralia Context triple: [Seoul–Sydney, servedByFlagCarrierOfAustralia, true]
-
A.
associatedFlagCarrier
Indicates that one entity serves as the designated national or primary flag carrier airline associated with another entity (such as a country, region, or organization).
-
B.
servesAsHubForFlagCarrierOf
Indicates that a location or facility functions as a primary hub for the national flag carrier airline of a given country or region.
-
C.
eligibleCarrier
Indicates that one entity is a valid or qualified carrier option for another entity under specified conditions.
-
D.
isFlagCarrierCodeOf
Indicates that a given airline code serves as the official flag carrier designation for a particular country or territory.
-
E.
wirelessOperator
Indicates that an entity operates, manages, or provides services for a wireless communication system or network for 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_69d6aae3fbec8190a14632a5df2538b6 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d87fd379648190b342e0c4b4f685b7 |
completed | April 10, 2026, 4:42 a.m. |
| PD | Predicate disambiguation | batch_69d80876e5f0819088cff2e72f773cf6 |
completed | April 9, 2026, 8:13 p.m. |
| PDg | Predicate description generation | batch_69d822ef46988190a1c360da4ee14fef |
completed | April 9, 2026, 10:06 p.m. |
Created at: April 8, 2026, 9:37 p.m.