Triple
T15670932
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andy Hampsten |
E377307
|
entity |
| Predicate | bestResultInEvent |
P8651
|
FINISHED |
| Object | 4th overall in 1992 Tour de France |
—
|
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: 4th overall in 1992 Tour de France | Statement: [Andy Hampsten, bestResultInEvent, 4th overall in 1992 Tour de France]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bestResultInEvent Context triple: [Andy Hampsten, bestResultInEvent, 4th overall in 1992 Tour de France]
-
A.
bestF1Result
Indicates that one result in a set has the highest F1 score (harmonic mean of precision and recall) compared to all other results.
-
B.
competitionResult
chosen
Indicates the outcome of a competitive event, specifying how participants placed or performed relative to one another.
-
C.
bestWorldChampionshipResult
Indicates the highest (best) world championship result or placement that an entity has achieved.
-
D.
olympicBestResult
Indicates the best performance or highest achievement an entity has attained in Olympic competition.
-
E.
bestRegionalResult
Indicates that the associated result is the highest or most favorable outcome achieved within a specific geographic region or regional grouping.
- 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_69d85cd2e28481909d4e975bee20872f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04f13b1b08190beabc9f4098aa096 |
completed | April 16, 2026, 2:53 a.m. |
| PD | Predicate disambiguation | batch_69deda8b36a4819081cb5708fe77ef51 |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:16 a.m.