Triple
T14801429
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | موتی مسجد (لال قلعہ، دہلی) |
E347918
|
entity |
| Predicate | خصوصیت |
P115772
|
FINISHED |
| Object | چھوٹی مگر نہایت نفیس 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: چھوٹی مگر نہایت نفیس مسجد | Statement: [موتی مسجد (لال قلعہ، دہلی), خصوصیت, چھوٹی مگر نہایت نفیس مسجد]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: خصوصیت Context triple: [موتی مسجد (لال قلعہ، دہلی), خصوصیت, چھوٹی مگر نہایت نفیس مسجد]
-
A.
privacyProperty
Indicates that one entity has a characteristic, rule, or condition specifically related to privacy in the context of the relationship.
-
B.
privacyCharacteristic
Indicates the specific privacy-related property or feature that characterizes how information is handled, protected, or exposed in a given context.
-
C.
keepsSecretAbout
Indicates that one entity intentionally withholds or conceals information regarding another specified entity or topic from others.
-
D.
secretive
Indicates that an entity deliberately withholds information or conceals its thoughts, actions, or intentions from others.
-
E.
protectedIn
Indicates that one entity is safeguarded, preserved, or kept safe within the context, environment, or jurisdiction of another entity.
- 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_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. |
| PDg | Predicate description generation | batch_69de8f4b67cc8190b84b59fcec5cf579 |
completed | April 14, 2026, 7:02 p.m. |
Created at: April 10, 2026, 1:31 a.m.