Triple
T12635434
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valfurva |
E301749
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Ables
Ables is a small locality or hamlet within the municipality of Valfurva in the Lombardy region of northern Italy.
|
E996307
|
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: Ables | Statement: [Valfurva, hasSubdivision, Ables]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ables Context triple: [Valfurva, hasSubdivision, Ables]
-
A.
Able
Able was the codename for the first of the Operation Crossroads nuclear tests conducted by the United States at Bikini Atoll in 1946.
-
B.
Abels
Abels is the surname of Michael Abels, an American composer best known for his acclaimed film scores for Jordan Peele’s movies such as "Get Out" and "Us."
-
C.
Abele
Abele is a surname most notably associated with Julian Abele, a pioneering African American architect who contributed to the design of many prominent buildings in the early 20th century.
-
D.
Abas
Abas is a figure in Greek mythology known primarily as the son of Hypermnestra and a king of Argos in some traditions.
-
E.
Abelson
Abelson is a surname most notably associated with Hal Abelson, an American computer scientist and educator known for his work on the Scheme programming language and the textbook "Structure and Interpretation of Computer Programs."
- 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: Ables Triple: [Valfurva, hasSubdivision, Ables]
Generated description
Ables is a small locality or hamlet within the municipality of Valfurva in the Lombardy region of northern Italy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ables Target entity description: Ables is a small locality or hamlet within the municipality of Valfurva in the Lombardy region of northern Italy.
-
A.
Able
Able was the codename for the first of the Operation Crossroads nuclear tests conducted by the United States at Bikini Atoll in 1946.
-
B.
Abels
Abels is the surname of Michael Abels, an American composer best known for his acclaimed film scores for Jordan Peele’s movies such as "Get Out" and "Us."
-
C.
Abele
Abele is a surname most notably associated with Julian Abele, a pioneering African American architect who contributed to the design of many prominent buildings in the early 20th century.
-
D.
Abas
Abas is a figure in Greek mythology known primarily as the son of Hypermnestra and a king of Argos in some traditions.
-
E.
Abelson
Abelson is a surname most notably associated with Hal Abelson, an American computer scientist and educator known for his work on the Scheme programming language and the textbook "Structure and Interpretation of Computer Programs."
- 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_69d7bdec9f9c8190b4bac675b7588211 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9610fab488190ac6e6d5cf056ae37 |
completed | April 10, 2026, 8:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f66871998c8190af8bd3f9ec596ada |
completed | May 2, 2026, 9:11 p.m. |
| NEDg | Description generation | batch_69f669f69fe4819097dfc63780e8587e |
completed | May 2, 2026, 9:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f66b619c88819098acbfb60fac9921 |
completed | May 2, 2026, 9:23 p.m. |
Created at: April 9, 2026, 5:16 p.m.