Triple
T13235241
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sterling μSA |
E315129
|
entity |
| Predicate | dataTypesIncluded |
P94056
|
FINISHED |
| Object | population statistics |
—
|
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: population statistics | Statement: [Sterling μSA, dataTypesIncluded, population statistics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dataTypesIncluded Context triple: [Sterling μSA, dataTypesIncluded, population statistics]
-
A.
dataTypes
Indicates that one entity specifies or defines the kinds or formats of data that are valid or expected for another entity.
-
B.
dataAvailableAs
chosen
Indicates that specific data can be accessed or obtained in a particular form, format, or representation.
-
C.
includesFeatureTypes
Indicates that an entity contains or encompasses specific types of features as part of its composition or definition.
-
D.
documentTypeIncluded
Indicates that a particular document type is contained within, or is part of, a specified set or collection of document types.
-
E.
datumType
Indicates the specific kind or category of data that characterizes or classifies a datum.
- 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_69d806affc688190a25b6ccc588e9c72 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98d36bdf8819099949b1e0e6902d3 |
completed | April 10, 2026, 11:52 p.m. |
| PD | Predicate disambiguation | batch_69d98bcb21648190aef241de1e7887e2 |
completed | April 10, 2026, 11:46 p.m. |
Created at: April 9, 2026, 9:22 p.m.