Triple
T14801410
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | موتی مسجد (لال قلعہ، دہلی) |
E347918
|
entity |
| Predicate | مطلبِ نام |
P744
|
FINISHED |
| Object | موتی کی طرح سفید مسجد |
—
|
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: موتی کی طرح سفید مسجد | Statement: [موتی مسجد (لال قلعہ، دہلی), مطلبِ نام, موتی کی طرح سفید مسجد]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: مطلبِ نام Context triple: [موتی مسجد (لال قلعہ، دہلی), مطلبِ نام, موتی کی طرح سفید مسجد]
-
A.
nameOf
chosen
Indicates that one entity is the name or designation of another entity.
-
B.
nameElementIn
Indicates that an entity is (or contains) a specific name element within a larger naming structure or system.
-
C.
importName
Indicates that one entity brings another entity into a scope, module, or context under a specific name used for reference.
-
D.
givenNameFor
Indicates that one entity is the personal first name assigned to or used for another entity.
-
E.
nameElement
Indicates that one entity serves as the name or label assigned to another entity or element.
- 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_69d822ea8b7c819097dfadf3d45545e6 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decd62c36c81909c2993dc7d1a79ea |
completed | April 14, 2026, 11:27 p.m. |
| PD | Predicate disambiguation | batch_69de8c0ef8a4819092d84478b1f56db1 |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 1:31 a.m.