Triple
T12122922
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grande Randonnée network |
E288737
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
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.
|
E970082
|
NE FINISHED |
How this triple was built (4 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 76 | Statement: [Grande Randonnée network, hasPart, GR 76]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GR 76 Context triple: [Grande Randonnée network, hasPart, GR 76]
-
A.
GR 7
GR 7 is a long-distance hiking trail in the European Grande Randonnée network, known for traversing diverse landscapes across multiple countries.
-
B.
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.
-
C.
GR70
GR70 is a long-distance hiking trail in France, famously following the route taken by writer Robert Louis Stevenson through the Cévennes region.
-
D.
GR-64
GR-64 is the ISO 3166-2 regional code assigned to the Chalkidiki regional unit in Greece.
-
E.
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.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: GR 76 Triple: [Grande Randonnée network, hasPart, GR 76]
Generated description
GR 76 is a long-distance hiking trail in France that forms part of the Grande Randonnée (GR) network of marked walking routes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: GR 76 Target entity description: GR 76 is a long-distance hiking trail in France that forms part of the Grande Randonnée (GR) network of marked walking routes.
-
A.
GR 7
GR 7 is a long-distance hiking trail in the European Grande Randonnée network, known for traversing diverse landscapes across multiple countries.
-
B.
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.
-
C.
GR70
GR70 is a long-distance hiking trail in France, famously following the route taken by writer Robert Louis Stevenson through the Cévennes region.
-
D.
GR-64
GR-64 is the ISO 3166-2 regional code assigned to the Chalkidiki regional unit in Greece.
-
E.
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.
- F. None of above. chosen
Provenance (5 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. |
| NEDg | Description generation | batch_69f60d10449c81909bf53ab54993de0f |
completed | May 2, 2026, 2:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f60dc353ac819082cb866f2b81555b |
completed | May 2, 2026, 2:44 p.m. |
Created at: April 8, 2026, 9:49 p.m.