Triple
T3245498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NIS |
E68057
|
entity |
| Predicate | managesDataType |
P33715
|
FINISHED |
| Object | user account information |
—
|
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: user account information | Statement: [NIS, managesDataType, user account information]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: managesDataType Context triple: [NIS, managesDataType, user account information]
-
A.
dataManagement
Indicates the relationship in which an entity organizes, stores, maintains, and governs data throughout its lifecycle.
-
B.
dataTypes
chosen
Indicates that one entity specifies or defines the kinds or formats of data that are valid or expected for another entity.
-
C.
datumType
Indicates the specific kind or category of data that characterizes or classifies a datum.
-
D.
metadataType
Indicates that one entity specifies the kind or category of metadata associated with another entity.
-
E.
hasTypeOfManagement
Indicates that an entity is associated with or operates under a specified form or style of management.
- 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_69ad858e4c708190aa31d486cfee8a6a |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaf1a96148190b63bf46209712707 |
completed | March 8, 2026, 5:17 p.m. |
| PD | Predicate disambiguation | batch_69ada41837e48190933572165be0ca38 |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:09 p.m.