Triple
T14923469
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Indiana Convention Center |
E371571
|
entity |
| Predicate | floorAreaRank |
P116681
|
FINISHED |
| Object | one of the largest convention centers in the United States by exhibit space |
—
|
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: one of the largest convention centers in the United States by exhibit space | Statement: [Indiana Convention Center, floorAreaRank, one of the largest convention centers in the United States by exhibit space]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: floorAreaRank Context triple: [Indiana Convention Center, floorAreaRank, one of the largest convention centers in the United States by exhibit space]
-
A.
floorCountRank
Indicates the relative ranking or position of an entity based on its number of floors compared to others.
-
B.
housingArea
Indicates the geographic or spatial area associated with a housing unit or residential property.
-
C.
roofArea
Indicates the total surface area covered by the roof of a structure.
-
D.
hasFloorArea
Indicates that an entity possesses a specified amount of floor space as a measurable area.
-
E.
fareArea
Indicates the geographic or zonal region within which a particular fare or pricing rule applies.
- 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_69d85cc7ea3481908228b5acb7d06f12 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6323f8c8190af02d06352d459c3 |
completed | April 15, 2026, 12:05 a.m. |
| PD | Predicate disambiguation | batch_69de9a52ba988190a26e268b4ea083ea |
completed | April 14, 2026, 7:49 p.m. |
| PDg | Predicate description generation | batch_69deb1a4d8dc8190a4c0841c20f2875f |
completed | April 14, 2026, 9:29 p.m. |
Created at: April 10, 2026, 2:34 a.m.