Triple
T24577791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greensboro–High Point metropolitan area |
E608159
|
entity |
| Predicate | containsConventionCenter |
P93010
|
FINISHED |
| Object | Greensboro Coliseum Complex |
—
|
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: Greensboro Coliseum Complex | Statement: [Greensboro–High Point metropolitan area, containsConventionCenter, Greensboro Coliseum Complex]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsConventionCenter Context triple: [Greensboro–High Point metropolitan area, containsConventionCenter, Greensboro Coliseum Complex]
-
A.
hasConventionHalls
chosen
Indicates that an entity possesses or includes one or more convention halls as part of its facilities or infrastructure.
-
B.
totalConventionSpace
Indicates the total amount of convention or conference space associated with an entity.
-
C.
venueComplex
Indicates that one venue is a complex or larger facility that contains or encompasses another venue.
-
D.
conventionCity
Indicates that a city is the location where a particular convention or conference is held.
-
E.
hasConferenceSpace
Indicates that an entity provides or includes dedicated space suitable for holding conferences, meetings, or similar gatherings.
- 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_69e2c4cdab6c8190aae6e5d3de55c95e |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2a97be2ac8190aecf5e54a37e266a |
completed | April 30, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69f2a6c1f07081908edf0b521767e79b |
completed | April 30, 2026, 12:48 a.m. |
Created at: April 18, 2026, 2:29 a.m.