Triple
T12879705
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GR footpath network |
E308058
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | GR 7 |
E964251
|
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 7 | Statement: [GR footpath network, hasPart, GR 7]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GR 7 Context triple: [GR footpath network, hasPart, GR 7]
-
A.
GR 7
chosen
GR 7 is a long-distance hiking trail in the European Grande Randonnée network, known for traversing diverse landscapes across multiple countries.
-
B.
GR 8
GR 8 is a long-distance hiking trail within the European Grande Randonnée network, known for traversing varied landscapes over multiple regions.
-
C.
GR 76
GR 76 is a long-distance hiking trail in France that forms part of the Grande Randonnée (GR) network of marked walking routes.
-
D.
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.
-
E.
GR 2
GR 2 is a long-distance hiking trail in France that forms part of the Grande Randonnée network, running roughly along the Seine River between Paris and the Normandy coast.
- 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.