Triple
T12428115
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Port de la Bonaigua |
E296950
|
entity |
| Predicate | roadUsedBy |
P29561
|
FINISHED |
| Object |
C-28
C-28 is a mountain road in the Catalan Pyrenees that connects the Val d'Aran with the Pallars Sobirà region via the Port de la Bonaigua pass.
|
E981989
|
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: C-28 | Statement: [Port de la Bonaigua, roadUsedBy, C-28]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: C-28 Context triple: [Port de la Bonaigua, roadUsedBy, C-28]
-
A.
C-20
C-20 is the NATO reporting name for the Gulfstream C-20, a military transport and VIP aircraft derived from the Gulfstream III business jet.
-
B.
C-29
The C-29 is a U.S. military variant of the British Hawker Siddeley HS 125 business jet used primarily for transport and training roles.
-
C.
C-2A
The C-2A is a twin-engine, high-wing cargo aircraft used by the U.S. Navy primarily for carrier onboard delivery (COD) missions.
-
D.
C-21A
The C-21A is a U.S. military transport and medical evacuation aircraft derived from the Learjet 35 business jet.
-
E.
C-82A
The C-82A is the primary production version of the Fairchild C-82 Packet, a twin-engine U.S. military transport aircraft used in the mid-20th century for cargo and paratroop operations.
- 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: C-28 Triple: [Port de la Bonaigua, roadUsedBy, C-28]
Generated description
C-28 is a mountain road in the Catalan Pyrenees that connects the Val d'Aran with the Pallars Sobirà region via the Port de la Bonaigua pass.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: C-28 Target entity description: C-28 is a mountain road in the Catalan Pyrenees that connects the Val d'Aran with the Pallars Sobirà region via the Port de la Bonaigua pass.
-
A.
C-20
C-20 is the NATO reporting name for the Gulfstream C-20, a military transport and VIP aircraft derived from the Gulfstream III business jet.
-
B.
C-29
The C-29 is a U.S. military variant of the British Hawker Siddeley HS 125 business jet used primarily for transport and training roles.
-
C.
C-2A
The C-2A is a twin-engine, high-wing cargo aircraft used by the U.S. Navy primarily for carrier onboard delivery (COD) missions.
-
D.
C-21A
The C-21A is a U.S. military transport and medical evacuation aircraft derived from the Learjet 35 business jet.
-
E.
C-82A
The C-82A is the primary production version of the Fairchild C-82 Packet, a twin-engine U.S. military transport aircraft used in the mid-20th century for cargo and paratroop operations.
- 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_69d6ada0640c81908c061d7fb3d47786 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d7ccda08190be2ff1739c1c6855 |
completed | April 10, 2026, 7:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6349b075c8190b77cd51bc45be8ef |
completed | May 2, 2026, 5:30 p.m. |
| NEDg | Description generation | batch_69f636cf7d808190bf3c1c84bdaf414e |
completed | May 2, 2026, 5:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6380223d08190959e524ad146d0e0 |
completed | May 2, 2026, 5:44 p.m. |
Created at: April 8, 2026, 9:55 p.m.