Triple
T33898750
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Catherine Ndereba |
E868986
|
entity |
| Predicate | worldRecordLocation |
P196016
|
FINISHED |
| Object | Chicago Marathon |
—
|
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: Chicago Marathon | Statement: [Catherine Ndereba, worldRecordLocation, Chicago Marathon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: worldRecordLocation Context triple: [Catherine Ndereba, worldRecordLocation, Chicago Marathon]
-
A.
previousWorldRecordLocation
Indicates the location where the immediately preceding world record for a given event or category was set.
-
B.
worldSpeedRecordLocation
Indicates the location where a world speed record was achieved or officially recorded.
-
C.
worldRecordSet
Indicates that an entity has achieved and established the best performance ever recorded in the world for a particular activity, event, or measurable criterion.
-
D.
worldRecordTime
Indicates that an entity’s recorded time for an event is the fastest ever achieved globally, i.e., the official world record time for that event.
-
E.
worldSpeedRecordCountry
Indicates the country in which a given world speed record was achieved or is held.
- 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_69f34997703c8190866b1d404bce531f |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fe00dad1708190b6522476bebb43af |
completed | May 8, 2026, 3:27 p.m. |
| PD | Predicate disambiguation | batch_69fdfc3717f48190bb50ac2919c8ef95 |
completed | May 8, 2026, 3:07 p.m. |
| PDg | Predicate description generation | batch_69fe00d8d8248190a63c12aa2c2f7c0c |
completed | May 8, 2026, 3:27 p.m. |
Created at: May 1, 2026, 1:48 a.m.