Triple
T16560237
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | K6 red telephone box |
E402317
|
entity |
| Predicate | numberBuiltApprox |
P99700
|
FINISHED |
| Object | 70000 |
—
|
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: 70000 | Statement: [K6 red telephone box, numberBuiltApprox, 70000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberBuiltApprox Context triple: [K6 red telephone box, numberBuiltApprox, 70000]
-
A.
numberBuilt
Indicates the total count of items or structures that have been constructed or produced.
-
B.
approximateProductionNumber
chosen
Indicates that one entity specifies an estimated or non-exact quantity associated with the production output of another entity.
-
C.
numberOfBuildings
Indicates the total count of buildings associated with a given entity or within a specified context.
-
D.
estimatedNumberOfRemains
Indicates the approximate count of human or other remains associated with an entity, based on estimation rather than an exact measurement.
-
E.
mineCountApproximate
Indicates that the number of mines associated with an entity is estimated or roughly counted rather than known exactly.
- 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_69d8838648088190acf97ef11fc3f61b |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3576d88288190b33543bea4706a36 |
completed | April 18, 2026, 10:05 a.m. |
| PD | Predicate disambiguation | batch_69e296a47b7481909d9958158510c806 |
completed | April 17, 2026, 8:23 p.m. |
Created at: April 10, 2026, 5:15 a.m.