Triple
T13591319
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daria Daulat Bagh |
E324697
|
entity |
| Predicate | hasMuralTheme |
P108769
|
FINISHED |
| Object | Tipu Sultan’s battles |
—
|
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: Tipu Sultan’s battles | Statement: [Daria Daulat Bagh, hasMuralTheme, Tipu Sultan’s battles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMuralTheme Context triple: [Daria Daulat Bagh, hasMuralTheme, Tipu Sultan’s battles]
-
A.
hasWallPaintingStyle
chosen
Indicates that an entity features or is associated with a particular style or type of wall painting.
-
B.
hasMuseumTheme
Indicates that something (such as a museum, exhibit, or collection) is characterized by or dedicated to a particular thematic focus.
-
C.
hasStreetArtStyle
Indicates that something exhibits characteristics or aesthetics associated with a particular style of street art.
-
D.
hasPublicArtwork
Indicates that a location or entity possesses or features artwork that is accessible to the general public.
-
E.
notableMural
Indicates that an entity is a mural distinguished by particular significance, prominence, or recognition.
- 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_69d80769eaf081909d82f44e484d6113 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb056ce088190a6feb4266633d18b |
completed | April 12, 2026, 2:46 p.m. |
| PD | Predicate disambiguation | batch_69dbae18eaf48190809e8b365856cde9 |
completed | April 12, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:49 p.m.