Triple
T25749953
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gift Horse |
E648445
|
entity |
| Predicate | placementContext |
P114211
|
FINISHED |
| Object | Trafalgar Square, a site of imperial and military commemoration |
—
|
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: Trafalgar Square, a site of imperial and military commemoration | Statement: [Gift Horse, placementContext, Trafalgar Square, a site of imperial and military commemoration]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: placementContext Context triple: [Gift Horse, placementContext, Trafalgar Square, a site of imperial and military commemoration]
-
A.
placementType
Indicates the specific manner or category in which something is positioned, arranged, or assigned within a given context.
-
B.
relocationContext
Indicates the circumstances, reasons, and situational details surrounding an entity’s move or transfer from one place or position to another.
-
C.
contextType
Indicates the type or category of contextual information associated with an entity or event.
-
D.
contextName
chosen
Indicates the specific contextual label or identifier under which an entity, event, or relation is defined or interpreted.
-
E.
originContext
Indicates the situational or environmental circumstances from which an entity, event, or piece of information originates.
- 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_69e7ab314d788190b3abe19e114080e1 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f65aa07c048190a5df30d53d8f0cf5 |
completed | May 2, 2026, 8:12 p.m. |
| PD | Predicate disambiguation | batch_69f659cc571c819097e51e531961d812 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 22, 2026, 4:33 a.m.