Triple
T15396491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Atlantic City Convention Center |
E368189
|
entity |
| Predicate | largestExhibitHallArea |
P118630
|
FINISHED |
| Object | about 199500 square feet |
—
|
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: about 199500 square feet | Statement: [Atlantic City Convention Center, largestExhibitHallArea, about 199500 square feet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: largestExhibitHallArea Context triple: [Atlantic City Convention Center, largestExhibitHallArea, about 199500 square feet]
-
A.
largestVenueOf
Indicates that one venue is the largest (typically by capacity, area, or scale) among a specified set or within a particular context.
-
B.
isLargestMultipurposeMuseumIn
Indicates that a museum is the largest multipurpose museum within a specified geographic area or location.
-
C.
isLargestMuseumIn
Indicates that a museum is the largest (by a specified measure, such as area, collection size, or visitors) among all museums within a given geographic or organizational scope.
-
D.
hasExhibitionArea
Indicates that an entity includes or provides a designated space or area for exhibitions or displays.
-
E.
mainHallCapacity
Indicates the maximum number of people that the main hall can accommodate at one time.
- 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_69d85a16c68c819099c1b547fbc87b32 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e8c5d40819086622b70edcb6294 |
completed | April 16, 2026, 1:42 a.m. |
| PD | Predicate disambiguation | batch_69ded27b8cac8190bfa77698d53c5d1c |
completed | April 14, 2026, 11:49 p.m. |
| PDg | Predicate description generation | batch_69ded57005608190886cd01f640dfedb |
completed | April 15, 2026, 12:01 a.m. |
Created at: April 10, 2026, 3:19 a.m.