Triple
T3698258
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buland Darwaza |
E78509
|
entity |
| Predicate | elevationAboveCourtyard |
P42978
|
FINISHED |
| Object | about 13 metres |
—
|
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: about 13 metres | Statement: [Buland Darwaza, elevationAboveCourtyard, about 13 metres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: elevationAboveCourtyard Context triple: [Buland Darwaza, elevationAboveCourtyard, about 13 metres]
-
A.
heightAboveSurroundings
chosen
Indicates that an entity’s vertical position or elevation is higher than that of its immediate surrounding area.
-
B.
hasCourtyardArea
Indicates that an entity includes or is associated with a courtyard and specifies the size or extent of that courtyard space.
-
C.
hasCourtyard
Indicates that one entity includes, features, or is characterized by the presence of a courtyard.
-
D.
balustradeHeight
Indicates the vertical measurement of a balustrade from its base to its top.
-
E.
elevationApproxMeters
Indicates the approximate elevation of an entity above sea level, measured in meters.
- 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_69ad85e3b1888190abc983e06968696d |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc512ba188190a15bcacafac3f476 |
completed | March 8, 2026, 6:50 p.m. |
| PD | Predicate disambiguation | batch_69adb84dc5808190850aa6975cb09e27 |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:26 p.m.