Triple
T3119844
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Hall (Manchester Town Hall) |
E65154
|
entity |
| Predicate | muralsDepict |
P1581
|
FINISHED |
| Object | history of Manchester |
—
|
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: history of Manchester | Statement: [Great Hall (Manchester Town Hall), muralsDepict, history of Manchester]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: muralsDepict Context triple: [Great Hall (Manchester Town Hall), muralsDepict, history of Manchester]
-
A.
notableMural
Indicates that an entity is a mural distinguished by particular significance, prominence, or recognition.
-
B.
muralsPaintedBetween
Indicates that murals were painted during a specific time interval between two given dates or events.
-
C.
artistOfMurals
Indicates that an entity creates or is responsible for producing murals.
-
D.
artisticDepiction
Indicates that one entity visually represents, portrays, or illustrates another in an artistic medium.
-
E.
depicts
chosen
Indicates that one entity visually represents, portrays, or shows another entity.
- 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_69ad857fcc088190b0c4d45a5cde6f61 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada4eb6a6081909df41f67999eb4ff |
completed | March 8, 2026, 4:33 p.m. |
| PD | Predicate disambiguation | batch_69ad9df455088190940ad04419772dc8 |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:04 p.m.