Triple
T1161909
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Savoia-Marchetti SM.79 Sparviero |
E24510
|
entity |
| Predicate | numberBuiltApproximate |
P2091
|
FINISHED |
| Object | 1300 |
—
|
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: 1300 | Statement: [Savoia-Marchetti SM.79 Sparviero, numberBuiltApproximate, 1300]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberBuiltApproximate Context triple: [Savoia-Marchetti SM.79 Sparviero, numberBuiltApproximate, 1300]
-
A.
numberBuilt
chosen
Indicates the total count of items or structures that have been constructed or produced.
-
B.
numberOfBuildings
Indicates the total count of buildings associated with a given entity or within a specified context.
-
C.
hasApproximateVendorCount
Indicates that an entity is associated with an estimated or non-exact number of vendors.
-
D.
approximateNumberOfMoai
Indicates that one entity specifies an estimated or approximate count of Moai associated with another entity.
-
E.
estimatedNumberOfBlocks
Indicates the approximate count of discrete blocks associated with or involved in the given entity or context.
- 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_69a494060e148190abb42f971242c197 |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bcb1915081908834ced85d09e299 |
completed | March 1, 2026, 10:24 p.m. |
| PD | Predicate disambiguation | batch_69a4bb525b648190adcb7a29256d3c41 |
completed | March 1, 2026, 10:18 p.m. |
Created at: March 1, 2026, 7:45 p.m.