Triple
T4360652
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anderson shelter |
E98651
|
entity |
| Predicate | numberProduced |
P2091
|
FINISHED |
| Object | over 1.5 million units |
—
|
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 1.5 million units | Statement: [Anderson shelter, numberProduced, over 1.5 million units]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberProduced Context triple: [Anderson shelter, numberProduced, over 1.5 million units]
-
A.
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.
-
B.
numberBuilt
chosen
Indicates the total count of items or structures that have been constructed or produced.
-
C.
massProduced
Indicates that an item is manufactured in large quantities, typically using standardized, industrial production processes.
-
D.
increasesProductionOf
Indicates that one entity causes a rise or enhancement in the amount or rate at which another entity is produced.
-
E.
coinsProduced
Indicates that a particular entity (such as a mint or authority) has produced or issued a specified set or quantity of coins.
- 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_69b3454c772081908e20173e379e8ebe |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b351e3220881909dc9d02ab024abf5 |
completed | March 12, 2026, 11:53 p.m. |
| PD | Predicate disambiguation | batch_69b34f53e3cc8190bf5d4dbe2413bf65 |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:16 p.m.