Triple
T7130700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Metropolitan Sanitary Fair |
E166177
|
entity |
| Predicate | approximateFundsRaised |
P75026
|
FINISHED |
| Object | over 1,000,000 US dollars |
—
|
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 1,000,000 US dollars | Statement: [Metropolitan Sanitary Fair, approximateFundsRaised, over 1,000,000 US dollars]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approximateFundsRaised Context triple: [Metropolitan Sanitary Fair, approximateFundsRaised, over 1,000,000 US dollars]
-
A.
fundingLevel
Indicates the amount or degree of financial resources allocated or committed to an entity, project, or activity.
-
B.
fundedBy
Indicates that an entity receives financial support or resources from another entity.
-
C.
seeksFundingFrom
Indicates that one entity is actively trying to obtain financial support or investment from another entity.
-
D.
approximateNumberAwarded
Indicates the estimated quantity of awards or recognitions given in a particular context or event.
-
E.
peakAnnualFunding
Indicates the maximum amount of funding an entity receives in a single year within a given period.
- 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_69c68884a9388190af42f90d1c1a7151 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e66dc2388190bdec018f1cc6b20a |
completed | March 27, 2026, 8:19 p.m. |
| PD | Predicate disambiguation | batch_69c6e1c7289881909f3b533c384f9ed4 |
completed | March 27, 2026, 8 p.m. |
| PDg | Predicate description generation | batch_69c6e4a213508190a40aca39f9eee7d5 |
completed | March 27, 2026, 8:12 p.m. |
Created at: March 27, 2026, 2:44 p.m.