Triple
T36992902
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | گریگورین کیلنڈر |
E915152
|
entity |
| Predicate | متعارف_کرانے_کی_جگہ |
P186873
|
FINISHED |
| Object | کیاتھولک ممالکِ یورپ |
—
|
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: کیاتھولک ممالکِ یورپ | Statement: [گریگورین کیلنڈر, متعارف_کرانے_کی_جگہ, کیاتھولک ممالکِ یورپ]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: متعارف_کرانے_کی_جگہ Context triple: [گریگورین کیلنڈر, متعارف_کرانے_کی_جگہ, کیاتھولک ممالکِ یورپ]
-
A.
متعارف_کرانے_والا
chosen
Indicates the entity that introduces or presents one entity to another.
-
B.
meetsInPlaceOf
Indicates that one entity meets or comes together with another specifically at a designated place or location.
-
C.
moreCommonIn
Indicates that something occurs with greater frequency or prevalence in one group, context, or location than in another.
-
D.
recognizedAsCruOf
Indicates that one entity is officially classified or acknowledged as a cru (a designated quality level or growth) of another entity, typically within a hierarchical quality system.
-
E.
kāṇḍa
Indicates a part–whole relationship where something is a section, chapter, or subdivision of a larger structured whole.
- 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_69fb55de3b9c8190a7656aeab3c3ffbc |
completed | May 6, 2026, 2:53 p.m. |
| PD | Predicate disambiguation | batch_69fb35bc92e08190bff447624e2df791 |
completed | May 6, 2026, 12:36 p.m. |
Created at: May 3, 2026, 4:14 p.m.