Triple
T20352270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UGC |
E496041
|
entity |
| Predicate | approximateNumberOfEntries |
P81913
|
FINISHED |
| Object | 12921 |
—
|
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: 12921 | Statement: [UGC, approximateNumberOfEntries, 12921]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approximateNumberOfEntries Context triple: [UGC, approximateNumberOfEntries, 12921]
-
A.
hasApproximateEntryCount
chosen
Indicates that an entity is associated with a number representing an estimated or non-exact count of its entries.
-
B.
hasApproximateMemberCount
Indicates that an entity is associated with a group or collection for which only an estimated or non-exact number of members is known.
-
C.
approximateDocumentCount
Indicates an estimated number of documents associated with or contained by a given entity, rather than an exact count.
-
D.
lapCountApproximate
Indicates that the recorded number of laps is an estimate rather than an exact, precise count.
-
E.
numberOfEntries
Indicates the total count of individual items, records, or instances associated with a 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_69e0b4a3f7f48190b37f354574028ca6 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67850ace48190b19aff5780fef7e8 |
completed | April 20, 2026, 7:02 p.m. |
| PD | Predicate disambiguation | batch_69e57636b4808190bc2855af48a3ccdc |
completed | April 20, 2026, 12:41 a.m. |
Created at: April 16, 2026, 11:25 a.m.