Triple
T12122991
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GR 10 |
E288738
|
entity |
| Predicate | hasRouteNumber |
P1864
|
FINISHED |
| Object | GR 10 |
E288738
|
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: GR 10 | Statement: [GR 10, hasRouteNumber, GR 10]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GR 10 Context triple: [GR 10, hasRouteNumber, GR 10]
-
A.
GR 10
chosen
GR 10 is a long-distance hiking trail that traverses the French side of the Pyrenees from the Atlantic Ocean to the Mediterranean Sea.
-
B.
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.
-
C.
GR10
GR10 is a renowned long-distance hiking trail that traverses the French Pyrenees from the Atlantic Ocean to the Mediterranean Sea.
-
D.
GR 1
GR 1 is a long-distance hiking trail in France that forms part of the Grande Randonnée network, typically used for multi-day trekking through varied natural landscapes.
-
E.
GR 9
GR 9 is a long-distance hiking trail in France that forms part of the Grande Randonnée network, running roughly from the Atlantic coast toward the Mediterranean through varied landscapes.
- 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_69f60a77e3588190bf84b3c3aa311641 |
completed | May 2, 2026, 2:30 p.m. |
Created at: April 8, 2026, 9:49 p.m.