Triple
T12287281
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cilindro de Marboré |
E292861
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
Cilindro
Cilindro is a prominent peak in the Pyrenees, known as one of the three great summits of the Monte Perdido massif on the border between Spain and France.
|
E974934
|
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: Cilindro | Statement: [Cilindro de Marboré, hasAlternativeName, Cilindro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cilindro Context triple: [Cilindro de Marboré, hasAlternativeName, Cilindro]
-
A.
Tambor
Tambor is a surname most notably associated with American actor Jeffrey Tambor, known for his roles in television and film.
-
B.
Corkscrew
Corkscrew is a steel roller coaster at Michigan’s Adventure known for its signature double-inversion corkscrew elements.
-
C.
Musina
Musina is a northern South African town in Limpopo Province, known as a key border and transport hub near Zimbabwe and for its history of copper and iron ore mining.
-
D.
Citura
Citura is the public transport operator responsible for managing Reims’ urban transit network, including its tramway system, in northeastern France.
-
E.
Piriform
Piriform is a software company best known for creating the PC optimization tool CCleaner and related system utility applications.
- 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: Cilindro Triple: [Cilindro de Marboré, hasAlternativeName, Cilindro]
Generated description
Cilindro is a prominent peak in the Pyrenees, known as one of the three great summits of the Monte Perdido massif on the border between Spain and France.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cilindro Target entity description: Cilindro is a prominent peak in the Pyrenees, known as one of the three great summits of the Monte Perdido massif on the border between Spain and France.
-
A.
Tambor
Tambor is a surname most notably associated with American actor Jeffrey Tambor, known for his roles in television and film.
-
B.
Corkscrew
Corkscrew is a steel roller coaster at Michigan’s Adventure known for its signature double-inversion corkscrew elements.
-
C.
Musina
Musina is a northern South African town in Limpopo Province, known as a key border and transport hub near Zimbabwe and for its history of copper and iron ore mining.
-
D.
Citura
Citura is the public transport operator responsible for managing Reims’ urban transit network, including its tramway system, in northeastern France.
-
E.
Piriform
Piriform is a software company best known for creating the PC optimization tool CCleaner and related system utility applications.
- 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_69d6ab690ad081908c0ed3870ec82d53 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91d1ffb208190a4b86d7d4ceee045 |
completed | April 10, 2026, 3:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e7315608190963c714a0b128dbb |
completed | May 2, 2026, 3:55 p.m. |
| NEDg | Description generation | batch_69f61f9493d081909a543bcafeb508d1 |
completed | May 2, 2026, 4 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f620ad9ec0819099909142fbad6412 |
completed | May 2, 2026, 4:05 p.m. |
Created at: April 8, 2026, 9:52 p.m.