Triple
T20975638
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mangalnath Temple |
E516617
|
entity |
| Predicate | dayConsideredAuspicious |
P84580
|
FINISHED |
| Object | Tuesday |
—
|
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: Tuesday | Statement: [Mangalnath Temple, dayConsideredAuspicious, Tuesday]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dayConsideredAuspicious Context triple: [Mangalnath Temple, dayConsideredAuspicious, Tuesday]
-
A.
ritualDate
Indicates the specific date on which a ritual or ceremonial event takes place.
-
B.
celebratedDay
chosen
Indicates that a particular day is observed, honored, or festively recognized in association with an entity or event.
-
C.
hasNumberOfTithis
Indicates the relationship that specifies how many tithis (lunar days) are associated with a given entity or period.
-
D.
feastDayObservedOn
Indicates that a particular feast day is celebrated or formally observed on a specified calendar date.
-
E.
day1OfBoishakhInIndia
Indicates the relationship where a given date is the first day of the month of Boishakh as observed in India.
- 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_69e0b4fee5ac8190875fa9ceba1a5e5e |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fba3df2081908c1db5f8610ba43d |
completed | April 21, 2026, 4:23 a.m. |
| PD | Predicate disambiguation | batch_69e5dbe6976081908abd4e9c8734bae9 |
completed | April 20, 2026, 7:55 a.m. |
Created at: April 16, 2026, 1:46 p.m.