Triple
T7122742
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shaheed Minar in Dhaka |
E165985
|
entity |
| Predicate | currentStructureCompletedYear |
P32863
|
FINISHED |
| Object | 1963 |
—
|
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: 1963 | Statement: [Shaheed Minar in Dhaka, currentStructureCompletedYear, 1963]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: currentStructureCompletedYear Context triple: [Shaheed Minar in Dhaka, currentStructureCompletedYear, 1963]
-
A.
currentTowerCompletedYear
chosen
Indicates the year in which the currently existing or latest version of the tower was completed.
-
B.
spireCompletionYear
Indicates the year in which the spire of a structure was completed.
-
C.
originalCompletionYear
Indicates the year in which something (such as a project, work, or construction) was first fully completed.
-
D.
yearBuilt
Indicates the specific year in which something (typically a structure or object) was constructed or completed.
-
E.
reconstructionYear
Indicates the year in which something was rebuilt, restored, or reconstructed after damage, alteration, or destruction.
- 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_69c6888350588190870cd552b427a1cd |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e6493fd88190b0c066a2ad74917c |
completed | March 27, 2026, 8:19 p.m. |
| PD | Predicate disambiguation | batch_69c6e1c7289881909f3b533c384f9ed4 |
completed | March 27, 2026, 8 p.m. |
Created at: March 27, 2026, 2:44 p.m.