Triple
T36992924
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | گریگورین کیلنڈر |
E915152
|
entity |
| Predicate | لیپ_سال_کا_قانون |
P4454
|
FINISHED |
| Object | ہر چوتھا سال لیپ سال ہوتا ہے |
—
|
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: ہر چوتھا سال لیپ سال ہوتا ہے | Statement: [گریگورین کیلنڈر, لیپ_سال_کا_قانون, ہر چوتھا سال لیپ سال ہوتا ہے]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: لیپ_سال_کا_قانون Context triple: [گریگورین کیلنڈر, لیپ_سال_کا_قانون, ہر چوتھا سال لیپ سال ہوتا ہے]
-
A.
obeysLaw
chosen
Indicates that an entity follows, complies with, or acts in accordance with a specified law or set of laws.
-
B.
Stein'sLaw
Indicates that if a situation or process cannot continue indefinitely in its current form, it will eventually change or come to an end.
-
C.
enforcedLaw
Indicates that an authority actively applies or upholds a specific law to regulate behavior or resolve situations.
-
D.
containsLaw
Indicates that one entity (such as a document, code, or jurisdiction) includes or encompasses a specific law within it.
-
E.
lawIntroduced
Indicates that a specific law or piece of legislation has been formally proposed or brought forward for consideration within a legislative or governing body.
- 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.