Triple
T291040
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lumen Field |
E5992
|
entity |
| Predicate | expandedCapacity |
P9426
|
FINISHED |
| Object | over 72,000 |
—
|
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: over 72,000 | Statement: [Lumen Field, expandedCapacity, over 72,000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: expandedCapacity Context triple: [Lumen Field, expandedCapacity, over 72,000]
-
A.
laterCapacity
Indicates that one entity’s capacity or capability occurs, becomes available, or is realized at a later time than another’s.
-
B.
expandedBy
Indicates that one entity increases, elaborates, or builds upon the scope, detail, or extent of another entity.
-
C.
expandedAfter
Indicates that one entity increases in size, scope, or extent after another specified event or point in time.
-
D.
expandedDuring
Indicates that an entity increased in size, scope, or extent over the course of a specified time period or event.
-
E.
typicalCapacity
Indicates the usual or standard amount, volume, or capability that something is designed or expected to hold, handle, or perform under normal conditions.
- 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_69a25946a7ac8190a78871c210213272 |
completed | Feb. 28, 2026, 2:56 a.m. |
| NER | Named-entity recognition | batch_69a25e4f78bc81909a64fd6aaec3b504 |
completed | Feb. 28, 2026, 3:17 a.m. |
| PD | Predicate disambiguation | batch_69a25b7d089081909810442c3d0182f6 |
completed | Feb. 28, 2026, 3:05 a.m. |
| PDg | Predicate description generation | batch_69a25d0ec71081908478c800be4f7bb0 |
completed | Feb. 28, 2026, 3:12 a.m. |
Created at: Feb. 28, 2026, 3:02 a.m.