Triple
T34085477
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shravana Putrada Ekadashi |
E874165
|
entity |
| Predicate | tithiNumber |
P178208
|
FINISHED |
| Object | 11th lunar day |
—
|
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: 11th lunar day | Statement: [Shravana Putrada Ekadashi, tithiNumber, 11th lunar day]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tithiNumber Context triple: [Shravana Putrada Ekadashi, tithiNumber, 11th lunar day]
-
A.
hasNumberOfTithis
Indicates the relationship that specifies how many tithis (lunar days) are associated with a given entity or period.
-
B.
tithiRange
Indicates a relationship where something occurs, applies, or is valid within a specified range of lunar days (tithis) in a lunar calendar.
-
C.
bornOnLunarTithi
Indicates that one entity was born on the specific lunar tithi (lunar day) represented by the other entity.
-
D.
day1OfBoishakhInIndia
Indicates the relationship where a given date is the first day of the month of Boishakh as observed in India.
-
E.
monthInHinduCalendar
Indicates that a specified time or event falls within a particular month as defined by the Hindu calendar system.
- 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_69f349a61d448190b74642f325d3eb7a |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f70c53062c8190b4cb7be22ab00bc7 |
completed | May 3, 2026, 8:50 a.m. |
| PD | Predicate disambiguation | batch_69f70ac0170c819098e3b8e41d02efef |
completed | May 3, 2026, 8:43 a.m. |
| PDg | Predicate description generation | batch_69f70b94784c8190970d654e066eb50d |
completed | May 3, 2026, 8:47 a.m. |
Created at: May 1, 2026, 1:52 a.m.