Triple
T36992905
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | گریگورین کیلنڈر |
E915152
|
entity |
| Predicate | سال_کی_اوسط_مدت |
P9857
|
FINISHED |
| Object | ۳۶۵٫۲۴۲۵ دن |
—
|
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: ۳۶۵٫۲۴۲۵ دن | Statement: [گریگورین کیلنڈر, سال_کی_اوسط_مدت, ۳۶۵٫۲۴۲۵ دن]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: سال_کی_اوسط_مدت Context triple: [گریگورین کیلنڈر, سال_کی_اوسط_مدت, ۳۶۵٫۲۴۲۵ دن]
-
A.
hasAverageYearLength
chosen
Indicates that one entity has a specified average duration for its year (orbital period), typically measured over time.
-
B.
averageAge
Indicates the mean age value calculated from a group of entities or individuals.
-
C.
hasAverageMonthLength
Indicates that an entity is associated with a specified average length of a month, typically expressed in days.
-
D.
averageYearError
Indicates the average deviation, in years, between predicted and actual temporal values across instances.
-
E.
yearRound
Indicates that the relationship, condition, or activity holds continuously throughout the entire year without seasonal interruption.
- 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_69f76e8f1a8c81909db172ed31304971 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb154c0fe08190a2e41e7a29b6055f |
completed | May 6, 2026, 10:17 a.m. |
| PD | Predicate disambiguation | batch_69f9fecc005c8190be082a8689193745 |
completed | May 5, 2026, 2:29 p.m. |
Created at: May 3, 2026, 4:14 p.m.