Triple
T18350073
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | canton of Muret |
E439641
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Saubens
Saubens is a small commune in southwestern France, located in the Haute-Garonne department near Toulouse.
|
E1319630
|
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: Saubens | Statement: [canton of Muret, contains, Saubens]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saubens Context triple: [canton of Muret, contains, Saubens]
-
A.
Sarreaus
Sarreaus is a municipality in the province of Ourense, in the autonomous community of Galicia in northwestern Spain.
-
B.
Naubise
Naubise is a small but important town in central Nepal that serves as a key junction and gateway between Kathmandu and the country’s western regions.
-
C.
Suhre
The Suhre is a river in Switzerland that flows through the cantons of Lucerne and Aargau before joining the Aare.
-
D.
Wiedensahl
Wiedensahl is a small village in Lower Saxony, Germany, best known as the birthplace of the humorist and illustrator Wilhelm Busch.
-
E.
Marheineke
Marheineke is a German surname most notably associated with the 19th-century Protestant theologian Philipp Marheineke.
- 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: Saubens Triple: [canton of Muret, contains, Saubens]
Generated description
Saubens is a small commune in southwestern France, located in the Haute-Garonne department near Toulouse.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Saubens Target entity description: Saubens is a small commune in southwestern France, located in the Haute-Garonne department near Toulouse.
-
A.
Sarreaus
Sarreaus is a municipality in the province of Ourense, in the autonomous community of Galicia in northwestern Spain.
-
B.
Naubise
Naubise is a small but important town in central Nepal that serves as a key junction and gateway between Kathmandu and the country’s western regions.
-
C.
Suhre
The Suhre is a river in Switzerland that flows through the cantons of Lucerne and Aargau before joining the Aare.
-
D.
Wiedensahl
Wiedensahl is a small village in Lower Saxony, Germany, best known as the birthplace of the humorist and illustrator Wilhelm Busch.
-
E.
Marheineke
Marheineke is a German surname most notably associated with the 19th-century Protestant theologian Philipp Marheineke.
- 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_69d8b918221c8190a9f7b563d64ac677 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e514f7700c8190ae220de870e69304 |
completed | April 19, 2026, 5:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03cc28b80c8190819b989478bb62bd |
completed | May 13, 2026, 12:56 a.m. |
| NEDg | Description generation | batch_6a03cd1858c481909f78fb1a4c27437c |
completed | May 13, 2026, 1 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03ce9e3dd08190b912fe9e9f552053 |
completed | May 13, 2026, 1:06 a.m. |
Created at: April 10, 2026, 10:37 a.m.