Triple
T11612072
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Household Targeting Office |
E275407
|
entity |
| Predicate | typeOfDataSystem |
P15304
|
FINISHED |
| Object | social registry |
—
|
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: social registry | Statement: [National Household Targeting Office, typeOfDataSystem, social registry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfDataSystem Context triple: [National Household Targeting Office, typeOfDataSystem, social registry]
-
A.
dataTypes
Indicates that one entity specifies or defines the kinds or formats of data that are valid or expected for another entity.
-
B.
systemType
chosen
Indicates the classification or category of a system that an entity belongs to or operates as.
-
C.
datumType
Indicates the specific kind or category of data that characterizes or classifies a datum.
-
D.
databaseType
Indicates the specific kind or category of database technology associated with an entity.
-
E.
typeOfInformation
Indicates that one entity specifies the category or kind of information that characterizes or describes another entity.
- 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_69d6aaf84b548190ac072e4fb89ae18f |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a043a3c08190a20cbc2ba5a8d218 |
completed | April 10, 2026, 7:01 a.m. |
| PD | Predicate disambiguation | batch_69d85dd6503c819081f9045e9d5c4f3f |
completed | April 10, 2026, 2:17 a.m. |
Created at: April 8, 2026, 9:38 p.m.