Triple
T14801427
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | موتی مسجد (لال قلعہ، دہلی) |
E347918
|
entity |
| Predicate | احاطہ |
P96191
|
FINISHED |
| Object | لال قلعہ کا اندرونی حصہ |
—
|
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: لال قلعہ کا اندرونی حصہ | Statement: [موتی مسجد (لال قلعہ، دہلی), احاطہ, لال قلعہ کا اندرونی حصہ]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: احاطہ Context triple: [موتی مسجد (لال قلعہ، دہلی), احاطہ, لال قلعہ کا اندرونی حصہ]
-
A.
surrounds
Indicates that one entity is located all around another entity, enclosing or encircling it on multiple sides or completely.
-
B.
around
Indicates that one entity is located or moves on all or most sides of another entity, encircling or surrounding it spatially.
-
C.
جایگاه
Indicates a positional or hierarchical relationship specifying the place, rank, or status of one entity relative to others.
-
D.
عاصر
Indicates that one entity lived in the same historical period or was a contemporary of another entity.
-
E.
כולל
chosen
Indicates that something contains, includes, or encompasses something else as a part or subset.
- 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.