Triple
T12972664
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arly |
E321440
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object |
Ugine
Ugine is a commune in the Savoie department of southeastern France, situated in the Alps and known for its steel industry.
|
E1012289
|
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: Ugine | Statement: [Arly, flowsThrough, Ugine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ugine Context triple: [Arly, flowsThrough, Ugine]
-
A.
Dolomieu
Dolomieu is a commune in the Isère department of southeastern France, known as the birthplace of mathematician Élie Cartan.
-
B.
Reuss
Reuss is a German noble family name historically associated with various princely lines in the region of Thuringia.
-
C.
Tergnier
Tergnier is a commune in northern France known historically as a significant railway junction and industrial town in the Aisne department.
-
D.
Tuzenbach
Tuzenbach is a philosophical, idealistic army officer and one of the central figures in Anton Chekhov’s play "Three Sisters," whose unrequited love and tragic fate underscore the work’s themes of longing and unfulfilled dreams.
-
E.
Durolle
Durolle is a river in central France that flows through the town of Thiers, historically powering its renowned cutlery and knife-making industry.
- 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: Ugine Triple: [Arly, flowsThrough, Ugine]
Generated description
Ugine is a commune in the Savoie department of southeastern France, situated in the Alps and known for its steel industry.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ugine Target entity description: Ugine is a commune in the Savoie department of southeastern France, situated in the Alps and known for its steel industry.
-
A.
Dolomieu
Dolomieu is a commune in the Isère department of southeastern France, known as the birthplace of mathematician Élie Cartan.
-
B.
Reuss
Reuss is a German noble family name historically associated with various princely lines in the region of Thuringia.
-
C.
Tergnier
Tergnier is a commune in northern France known historically as a significant railway junction and industrial town in the Aisne department.
-
D.
Tuzenbach
Tuzenbach is a philosophical, idealistic army officer and one of the central figures in Anton Chekhov’s play "Three Sisters," whose unrequited love and tragic fate underscore the work’s themes of longing and unfulfilled dreams.
-
E.
Durolle
Durolle is a river in central France that flows through the town of Thiers, historically powering its renowned cutlery and knife-making industry.
- 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_69d80763bd6c819094437da5b20b01d2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e418d548190be1c73db76cb3aa8 |
completed | April 10, 2026, 10:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6b8ea91f08190b1daf6d05621acf9 |
completed | May 3, 2026, 2:54 a.m. |
| NEDg | Description generation | batch_69f6b9a29ae481908161749f2803664d |
completed | May 3, 2026, 2:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6ba11e8448190856f184d3dfa9ac9 |
completed | May 3, 2026, 2:59 a.m. |
Created at: April 9, 2026, 8:36 p.m.