Triple
T19271663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ayalon Institute Museum |
E481942
|
entity |
| Predicate | productionCapacityPerDay |
P122921
|
FINISHED |
| Object | up to 40,000 bullets |
—
|
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: up to 40,000 bullets | Statement: [Ayalon Institute Museum, productionCapacityPerDay, up to 40,000 bullets]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: productionCapacityPerDay Context triple: [Ayalon Institute Museum, productionCapacityPerDay, up to 40,000 bullets]
-
A.
productionCapacity
chosen
Indicates the maximum amount of output an entity can produce within a given time or resource constraint.
-
B.
capacityPerHour
Indicates the maximum amount of output or throughput an entity can handle or produce in one hour.
-
C.
peakProductionRate
Indicates the maximum rate at which something can be produced over a given period under specified conditions.
-
D.
annualCapacity
Indicates the maximum amount of output or throughput an entity can produce or handle within a one-year period.
-
E.
totalProduction
Indicates the overall quantity of goods, services, or output produced by an entity or system over a specified period or within a defined scope.
- 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_69d8e8ce54cc8190998418ff1f66ef28 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fbb8bea08190b5c65eebe67dccbb |
completed | April 20, 2026, 10:11 a.m. |
| PD | Predicate disambiguation | batch_69e4dd07a7208190afcd51ba1dc87c33 |
completed | April 19, 2026, 1:47 p.m. |
Created at: April 10, 2026, 1:29 p.m.