Triple
T10613450
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kirpan |
E276060
|
entity |
| Predicate | keptOn |
P94970
|
FINISHED |
| Object | person at all times by observant Sikhs |
—
|
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: person at all times by observant Sikhs | Statement: [Kirpan, keptOn, person at all times by observant Sikhs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: keptOn Context triple: [Kirpan, keptOn, person at all times by observant Sikhs]
-
A.
keptIn
Indicates that one entity is stored, contained, or maintained inside another entity as its location or container.
-
B.
goesOn
Indicates that one entity participates in, boards, or travels using another entity, such as a vehicle, trip, or event.
-
C.
stillMaintained
Indicates that the subject continues to be actively maintained or supported over time.
-
D.
currentKeepStatus
Indicates the present retention or preservation state currently assigned to an entity.
-
E.
isKeptFor
Indicates that one entity is retained or preserved for the benefit, use, or purpose of another entity.
- F. None of above. chosen
Provenance (4 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_69d6aaf948d88190806cc3a8c47a3fb2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d6df5ca94c8190aa3771925913defc |
completed | April 8, 2026, 11:06 p.m. |
| PD | Predicate disambiguation | batch_69d6dd7a223c8190854409d76368f3e8 |
completed | April 8, 2026, 10:58 p.m. |
| PDg | Predicate description generation | batch_69d6df463ea8819091d6683e476b4f21 |
completed | April 8, 2026, 11:05 p.m. |
Created at: April 8, 2026, 7:33 p.m.