Triple
T12123070
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HRP |
E288740
|
entity |
| Predicate | parallelTo |
P1868
|
FINISHED |
| Object | GR10 |
E288734
|
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: GR10 | Statement: [HRP, parallelTo, GR10]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GR10 Context triple: [HRP, parallelTo, GR10]
-
A.
GR10
chosen
GR10 is a renowned long-distance hiking trail that traverses the French Pyrenees from the Atlantic Ocean to the Mediterranean Sea.
-
B.
GR 10
GR 10 is a long-distance hiking trail that traverses the French side of the Pyrenees from the Atlantic Ocean to the Mediterranean Sea.
-
C.
GR 20
GR 20 is a renowned long-distance hiking trail in Corsica, France, considered one of the toughest and most spectacular treks in Europe.
-
D.
GR 11
GR 11 is a long-distance hiking trail that traverses the Spanish side of the Pyrenees from the Atlantic Ocean to the Mediterranean Sea.
-
E.
GR
GR is the performance and motorsport sub-brand of Toyota, known for developing high-performance road cars and competing in international racing series.
- 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_69d6ab4b5e4c81909950b17151eb0951 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d91578fd88819099adf55c93d549fc |
completed | April 10, 2026, 3:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f686d6c08190b1f1ca2d5a51f5df |
completed | May 2, 2026, 1:05 p.m. |
Created at: April 8, 2026, 9:49 p.m.