Triple
T1115920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1908 Summer Olympics |
E11099
|
entity |
| Predicate | marathonFinishLocation |
P12513
|
FINISHED |
| Object | in front of the Royal Box at White City Stadium |
—
|
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: in front of the Royal Box at White City Stadium | Statement: [1908 Summer Olympics, marathonFinishLocation, in front of the Royal Box at White City Stadium]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marathonFinishLocation Context triple: [1908 Summer Olympics, marathonFinishLocation, in front of the Royal Box at White City Stadium]
-
A.
marathonWinner
Indicates that one entity is the competitor who finished first and won a specified marathon event.
-
B.
finalsLocation
chosen
Indicates the place where the final stage or concluding event of something (such as a competition or process) takes place.
-
C.
positionOnRace
Indicates the relative ranking or placement an entity holds within the context of a race or competitive event.
-
D.
placeOfPassing
Indicates the location where an entity (typically a person) died or passed away.
-
E.
finalCity
Indicates that a given city is the last or ultimate city associated with an entity within a sequence, process, or journey.
- 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_69a493252a648190ac48f8742474a5e8 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4bbd92a8c8190a16e55f3f739010f |
completed | March 1, 2026, 10:21 p.m. |
| PD | Predicate disambiguation | batch_69a4bb42990c819080db96478fd4977e |
completed | March 1, 2026, 10:18 p.m. |
Created at: March 1, 2026, 7:43 p.m.