Triple
T17938975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karva Chauth |
E448538
|
entity |
| Predicate | fastObservedBy |
P1165
|
FINISHED |
| Object | women |
—
|
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: women | Statement: [Karva Chauth, fastObservedBy, women]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fastObservedBy Context triple: [Karva Chauth, fastObservedBy, women]
-
A.
observedBy
chosen
Indicates that an entity is perceived, monitored, or recorded by another entity acting as the observer.
-
B.
observedFor
Indicates that one entity is monitored, watched, or examined over a period of time for the benefit or analysis of another entity.
-
C.
dstObserved
Indicates that an entity has been observed, detected, or recorded as the destination of another entity or action.
-
D.
isObservedOn
Indicates that a particular phenomenon, condition, or attribute is detected or recorded at a specific time, date, or occasion.
-
E.
isObservedFrom
Indicates that one entity serves as the vantage point or location from which another entity is perceived, measured, or monitored.
- 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_69d8b9f79d14819095540856928f0e25 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4ad9455fc81908bf595f9ed42c624 |
completed | April 19, 2026, 10:25 a.m. |
| PD | Predicate disambiguation | batch_69e3f8e713d481908b4a126258c18b63 |
completed | April 18, 2026, 9:34 p.m. |
Created at: April 10, 2026, 10:21 a.m.