Triple
T21646302
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glacier de Ferpècle |
E534225
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object |
Ferpècle dam
Ferpècle dam is a hydroelectric dam in the Valais region of Switzerland, situated in a high Alpine valley below the Glacier de Ferpècle.
|
E1494631
|
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: Ferpècle dam | Statement: [Glacier de Ferpècle, near, Ferpècle dam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ferpècle dam Context triple: [Glacier de Ferpècle, near, Ferpècle dam]
-
A.
Pintasilgo
Pintasilgo is the surname of Maria de Lourdes Pintasilgo, a prominent Portuguese chemical engineer, politician, and the first woman to serve as Portugal’s prime minister.
-
B.
Montmaneu
Montmaneu is a small municipality located in the Anoia comarca of Catalonia, Spain.
-
C.
Blera
Blera is a small historic town in the Lazio region of central Italy, known for its ancient Etruscan origins and medieval heritage.
-
D.
Zalambessa
Zalambessa is a town in the Tigray Region of northern Ethiopia, situated near the border with Eritrea and known for its strategic location along the main road between the two countries.
-
E.
Gileppe
Gileppe is a river in eastern Belgium known for feeding the Gileppe Dam and Reservoir near Jalhay.
- 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: Ferpècle dam Triple: [Glacier de Ferpècle, near, Ferpècle dam]
Generated description
Ferpècle dam is a hydroelectric dam in the Valais region of Switzerland, situated in a high Alpine valley below the Glacier de Ferpècle.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ferpècle dam Target entity description: Ferpècle dam is a hydroelectric dam in the Valais region of Switzerland, situated in a high Alpine valley below the Glacier de Ferpècle.
-
A.
Pintasilgo
Pintasilgo is the surname of Maria de Lourdes Pintasilgo, a prominent Portuguese chemical engineer, politician, and the first woman to serve as Portugal’s prime minister.
-
B.
Montmaneu
Montmaneu is a small municipality located in the Anoia comarca of Catalonia, Spain.
-
C.
Blera
Blera is a small historic town in the Lazio region of central Italy, known for its ancient Etruscan origins and medieval heritage.
-
D.
Zalambessa
Zalambessa is a town in the Tigray Region of northern Ethiopia, situated near the border with Eritrea and known for its strategic location along the main road between the two countries.
-
E.
Gileppe
Gileppe is a river in eastern Belgium known for feeding the Gileppe Dam and Reservoir near Jalhay.
- 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_69e0c466aec88190ba39c7543dbc8ba2 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef591194dc8190a57b28eaddeceff5 |
completed | April 27, 2026, 12:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a0fa684408190a3b1fa9b17df4057 |
completed | May 17, 2026, 6:57 p.m. |
| NEDg | Description generation | batch_6a0a11148bac8190b328be525f03666d |
completed | May 17, 2026, 7:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a11821c148190be5c4f87cdeae923 |
completed | May 17, 2026, 7:05 p.m. |
Created at: April 16, 2026, 6:35 p.m.