Triple
T24255567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Friendship Airport |
E603657
|
entity |
| Predicate | hasCityServedCollectiveName |
P155342
|
FINISHED |
| Object | Piedmont Triad |
—
|
NE NERFINISHED |
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: Piedmont Triad | Statement: [Friendship Airport, hasCityServedCollectiveName, Piedmont Triad]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCityServedCollectiveName Context triple: [Friendship Airport, hasCityServedCollectiveName, Piedmont Triad]
-
A.
hasCityServedCurrentName
Indicates that the current name of a city is the one used in the context of being served (e.g., by a service, route, or organization).
-
B.
alternativeCityServed
Indicates that one city functions as an alternative service location for another city, typically in contexts like transportation or logistics.
-
C.
belongsToCityServedBy
Indicates that something is associated with or part of the city that is served by a particular service, facility, or infrastructure.
-
D.
hasCityServedSuccessor
Indicates that one city served by a service, role, or entity is the successor to another previously served city in that same context.
-
E.
servedCity
Indicates that a service, route, or facility operates in, reaches, or is available to a particular city.
- 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_69e29540da0481909a38bdae315b7a02 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f28c6284dc8190a357f15d95b0360a |
completed | April 29, 2026, 10:55 p.m. |
| PD | Predicate disambiguation | batch_69f1c450aa508190bc9d372a5f6ee47a |
completed | April 29, 2026, 8:41 a.m. |
| PDg | Predicate description generation | batch_69f1c6d4e99081909f61899eccafb73e |
completed | April 29, 2026, 8:52 a.m. |
Created at: April 18, 2026, 12:05 a.m.