Triple
T16294510
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sébastien Loeb |
E395611
|
entity |
| Predicate | hasWon |
P2624
|
FINISHED |
| Object | Rally Greece |
E608148
|
NE 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: Rally Greece | Statement: [Sébastien Loeb, hasWon, Rally Greece]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rally Greece Context triple: [Sébastien Loeb, hasWon, Rally Greece]
-
A.
Greek Rally
Greek Rally was a conservative political party in Greece led by former military leader Alexandros Papagos, which dominated Greek politics in the early 1950s.
-
B.
Rally Turkey
Rally Turkey is a gravel-based motorsport event held on challenging mountainous roads, formerly a round of the FIA World Rally Championship.
-
C.
Acropolis Rally
chosen
The Acropolis Rally is a famously tough gravel rally in Greece, long regarded as one of the most demanding and prestigious events in the World Rally Championship.
-
D.
Rally5
Rally5 is an entry-level FIA rally car category designed for affordable, front-wheel-drive competition in national and international rally events.
-
E.
Rally
Rally is an OpenStack benchmarking and performance testing tool designed to validate and profile cloud deployments at scale.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d87f22c7248190a54c949738441e2e |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e25e2c255881909d99c43770475329 |
completed | April 17, 2026, 4:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a001f9965b8819080278ccef15288aa |
completed | May 10, 2026, 6:03 a.m. |
Created at: April 10, 2026, 5:05 a.m.