Triple
T12879703
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GR footpath network |
E308058
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | GR 34 |
E964249
|
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 34 | Statement: [GR footpath network, hasPart, GR 34]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GR 34 Context triple: [GR footpath network, hasPart, GR 34]
-
A.
GR 34
chosen
GR 34 is a long-distance coastal hiking trail in France that follows much of the Brittany shoreline, offering scenic seaside routes and cultural landmarks.
-
B.
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.
-
C.
GR-42
GR-42 is the ISO 3166-2 subdivision code assigned to the Larissa regional unit in Greece.
-
D.
GR 65
GR 65 is a long-distance hiking trail in France that largely follows one of the traditional pilgrimage routes of the Camino de Santiago.
-
E.
GR70
GR70 is a long-distance hiking trail in France, famously following the route taken by writer Robert Louis Stevenson through the Cévennes region.
- 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_69d7bdf69bc48190af6c2621f28ca351 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d970fc1e488190a0c48039f6213e62 |
completed | April 10, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f69bba33c081909c0050ff7b868a8e |
completed | May 3, 2026, 12:50 a.m. |
Created at: April 9, 2026, 5:39 p.m.