Triple
T12287305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Soum de Ramond |
E292862
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Soum de Ramound |
E292862
|
NE FINISHED |
How this triple was built (2 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: Soum de Ramound | Statement: [Soum de Ramond, alsoKnownAs, Soum de Ramound]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Soum de Ramound Context triple: [Soum de Ramond, alsoKnownAs, Soum de Ramound]
-
A.
Soum de Ramond
chosen
Soum de Ramond is a prominent peak in the Pyrenees, known as one of the major summits of the Monte Perdido massif on the border between France and Spain.
-
B.
El Omrane
El Omrane is a district of Tunis, Tunisia, known as a largely residential urban area within the capital’s metropolitan region.
-
C.
Souf
Souf is a town in Jordan known for its location in the hilly, historically rich region of Jerash in the country’s north.
-
D.
La Tzoumaz
La Tzoumaz is a Swiss alpine village and ski resort in the 4 Vallées region, known for its family-friendly slopes and access to extensive interconnected ski terrain.
-
E.
Imi n’Tanout
Imi n’Tanout is a small town in southwestern Morocco known for its traditional Berber culture and its location in the Souss-Massa region.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69f62a97614c8190b67e07df3e424e32 |
completed | May 2, 2026, 4:47 p.m. |
Created at: April 8, 2026, 9:52 p.m.