Triple
T19919615
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monroeville Convention Center |
E478753
|
entity |
| Predicate | hasIndoorFeature |
P6655
|
FINISHED |
| Object | exhibit halls |
—
|
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: exhibit halls | Statement: [Monroeville Convention Center, hasIndoorFeature, exhibit halls]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasIndoorFeature Context triple: [Monroeville Convention Center, hasIndoorFeature, exhibit halls]
-
A.
hasIndoorType
Indicates that an entity is associated with a specific type or category of indoor environment or indoor feature.
-
B.
hasInteriorFeature
chosen
Indicates that an entity contains or includes a specific feature within its interior space.
-
C.
hasIndoorArea
Indicates that an entity possesses or includes an area or space that is located indoors or within a building.
-
D.
hasFloorFeature
Indicates that a floor possesses or includes a specific feature or characteristic.
-
E.
hasHomeFeature
Indicates that a home possesses or includes a particular feature or amenity.
- 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_69d8e521855c8190b41871700afc8d6a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e659c49d408190b3a42bada3675133 |
completed | April 20, 2026, 4:52 p.m. |
| PD | Predicate disambiguation | batch_69e537f070b481908958e0e5911dcdc1 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 10, 2026, 1:53 p.m.