Triple
T2680314
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GR10 long-distance footpath |
E56556
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
GR10
GR10 is a renowned long-distance hiking trail that traverses the French Pyrenees from the Atlantic Ocean to the Mediterranean Sea.
|
E288734
|
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: GR10 | Statement: [GR10 long-distance footpath, abbreviation, GR10]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GR10 Context triple: [GR10 long-distance footpath, abbreviation, GR10]
-
A.
GR
GR is the standard abbreviation for Georgian Railway, the national rail transport company of Georgia.
-
B.
GR
GR is the stock ticker symbol for Goodrich Corporation, a former major American aerospace and defense company known for manufacturing aircraft systems and components.
-
C.
T10
T10 is a technical committee under INCITS responsible for developing standards for SCSI (Small Computer System Interface) and related storage interfaces.
-
D.
GVRA
GVRA is a state agency in Georgia that provides vocational rehabilitation and related services to help individuals with disabilities prepare for, obtain, and maintain employment.
-
E.
O-10
O-10 is the highest pay grade for four-star flag and general officers in the U.S. Armed Forces, including admirals and full generals.
- 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: GR10 Triple: [GR10 long-distance footpath, abbreviation, GR10]
Generated description
GR10 is a renowned long-distance hiking trail that traverses the French Pyrenees from the Atlantic Ocean to the Mediterranean Sea.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: GR10 Target entity description: GR10 is a renowned long-distance hiking trail that traverses the French Pyrenees from the Atlantic Ocean to the Mediterranean Sea.
-
A.
GR
GR is the standard abbreviation for Georgian Railway, the national rail transport company of Georgia.
-
B.
GR
GR is the stock ticker symbol for Goodrich Corporation, a former major American aerospace and defense company known for manufacturing aircraft systems and components.
-
C.
T10
T10 is a technical committee under INCITS responsible for developing standards for SCSI (Small Computer System Interface) and related storage interfaces.
-
D.
GVRA
GVRA is a state agency in Georgia that provides vocational rehabilitation and related services to help individuals with disabilities prepare for, obtain, and maintain employment.
-
E.
O-10
O-10 is the highest pay grade for four-star flag and general officers in the U.S. Armed Forces, including admirals and full generals.
- 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_69ab4a4b13fc81909dfdb3f23da46832 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd9d36ea8819094ada73d86ffaa8b |
completed | March 7, 2026, 7:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afa06a3eb48190891326891222766d |
completed | March 10, 2026, 4:39 a.m. |
| NEDg | Description generation | batch_69afa166de908190bdd920ec1b166b3a |
completed | March 10, 2026, 4:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afa1ffbc4881909bb326a8a2f2a05e |
completed | March 10, 2026, 4:45 a.m. |
Created at: March 6, 2026, 9:54 p.m.