Triple
T3521046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Merchandise Mart |
E74421
|
entity |
| Predicate | wasOnce |
P23508
|
FINISHED |
| Object | largest building in the world by floor area |
—
|
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: largest building in the world by floor area | Statement: [Merchandise Mart, wasOnce, largest building in the world by floor area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasOnce Context triple: [Merchandise Mart, wasOnce, largest building in the world by floor area]
-
A.
wasA
Indicates that an entity previously had a certain role, type, or classification in the past.
-
B.
wasIn
Indicates that an entity existed, occurred, or was located within a particular place or context during a specified time or situation.
-
C.
usedToBe
chosen
Indicates that something held a particular state, role, or property in the past but no longer does in the present.
-
D.
wasOriginally
Indicates that an entity had a particular state, form, type, or affiliation at an earlier time, which has since changed.
-
E.
wereInternedBy
Indicates that an entity was forcibly confined, detained, or held in an internment facility by another entity (typically an authority or government).
- 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_69ad85d0c5488190a3d8e02ebd01a1aa |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbc4c6ac8819096e9c773f3cccbfb |
completed | March 8, 2026, 6:13 p.m. |
| PD | Predicate disambiguation | batch_69adae10689c8190b7dc6d7daa8295b6 |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:19 p.m.