Triple
T12673356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arg of Karim Khan |
E302741
|
entity |
| Predicate | hasTowerShape |
P4141
|
FINISHED |
| Object | cylindrical towers |
—
|
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: cylindrical towers | Statement: [Arg of Karim Khan, hasTowerShape, cylindrical towers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTowerShape Context triple: [Arg of Karim Khan, hasTowerShape, cylindrical towers]
-
A.
hasTower
Indicates that one entity possesses, contains, or is characterized by the presence of a tower.
-
B.
hasTowerHeight
Indicates that an entity (such as a tower or structure) has a specific height value associated with it.
-
C.
hasTowerPosition
Indicates that an entity occupies or is assigned a specific position or location within a tower.
-
D.
towerShape
chosen
Indicates that one entity has the physical form or outline of a tower in relation to another entity.
-
E.
hasDomeOrTower
Indicates that one entity possesses or features a dome or a tower as part of its structure.
- 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_69d7bdee64a08190801c6d470aefd723 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961af991c8190b6079cb57e593b8f |
completed | April 10, 2026, 8:46 p.m. |
| PD | Predicate disambiguation | batch_69d960bb64ec8190bd0400cf0cc8b0a7 |
completed | April 10, 2026, 8:42 p.m. |
Created at: April 9, 2026, 5:20 p.m.