Triple
T36400437
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Royal Air Force Memorial, London |
E896607
|
entity |
| Predicate | erectedTo |
P185437
|
FINISHED |
| Object | Royal Air Force |
—
|
NE NERFINISHED |
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: Royal Air Force | Statement: [Royal Air Force Memorial, London, erectedTo, Royal Air Force]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: erectedTo Context triple: [Royal Air Force Memorial, London, erectedTo, Royal Air Force]
-
A.
erected
Indicates that one entity caused a structure or object to be built or put upright, typically in a deliberate and often permanent manner.
-
B.
erectedBy
Indicates that something (such as a structure, monument, or installation) was constructed, set up, or raised by a particular agent or entity.
-
C.
elevatedTo
Indicates that one entity is promoted or raised to a higher rank, status, position, or level relative to another.
-
D.
towerConstruction
Indicates the process or activity of building or erecting a tower structure.
-
E.
reErectedAt
Indicates that something was rebuilt or re-erected at a particular location or site.
- F. None of above. chosen
Provenance (4 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_69f76e53b81081908d3b81860593f38a |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7be9d07ac8190adf796cbef60daf6 |
completed | May 3, 2026, 9:31 p.m. |
| PD | Predicate disambiguation | batch_69f7bcccd7988190aa5c931ff347d33c |
completed | May 3, 2026, 9:23 p.m. |
| PDg | Predicate description generation | batch_69f7be9b9ab481908328e0e8d8ac73d4 |
completed | May 3, 2026, 9:31 p.m. |
Created at: May 3, 2026, 4:10 p.m.