Triple
T1695250
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cher |
E36641
|
entity |
| Predicate | hasRiver |
P165
|
FINISHED |
| Object |
Auron
Auron is a river in central France that flows through the Cher department and joins the Yèvre near the city of Bourges.
|
E192636
|
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: Auron | Statement: [Cher, hasRiver, Auron]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Auron Context triple: [Cher, hasRiver, Auron]
-
A.
Dani Ardor
Dani Ardor is the emotionally traumatized American graduate student who becomes entangled with a sinister Swedish pagan cult in Ari Aster’s 2019 folk horror film "Midsommar."
-
B.
Kadan
Kadan was a Mongol prince and military commander who played a key role in the Mongol invasions of Central and Eastern Europe in the 13th century.
-
C.
Yoron
Yoron is a small subtropical island town in Japan’s Kagoshima Prefecture, known for its coral reefs, white-sand beaches, and traditional Ryukyuan-influenced culture.
-
D.
Reinhardt
Reinhardt is a supporting character in the 2002 vampire action film "Blade II," appearing as a member of the Bloodpack team that initially allies with Blade.
-
E.
Reinhardt
Reinhardt is a German-language surname borne by numerous notable individuals across fields such as music, military history, and the arts.
- 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: Auron Triple: [Cher, hasRiver, Auron]
Generated description
Auron is a river in central France that flows through the Cher department and joins the Yèvre near the city of Bourges.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Auron Target entity description: Auron is a river in central France that flows through the Cher department and joins the Yèvre near the city of Bourges.
-
A.
Dani Ardor
Dani Ardor is the emotionally traumatized American graduate student who becomes entangled with a sinister Swedish pagan cult in Ari Aster’s 2019 folk horror film "Midsommar."
-
B.
Kadan
Kadan was a Mongol prince and military commander who played a key role in the Mongol invasions of Central and Eastern Europe in the 13th century.
-
C.
Yoron
Yoron is a small subtropical island town in Japan’s Kagoshima Prefecture, known for its coral reefs, white-sand beaches, and traditional Ryukyuan-influenced culture.
-
D.
Reinhardt
Reinhardt is a supporting character in the 2002 vampire action film "Blade II," appearing as a member of the Bloodpack team that initially allies with Blade.
-
E.
Reinhardt
Reinhardt is a German-language surname borne by numerous notable individuals across fields such as music, military history, and the arts.
- 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_69a886163dec8190859c514232a37a05 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa62b3b8908190afc3f9e4a384684f |
completed | March 6, 2026, 5:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad8ac9ed2c81909fe3fe40515526de |
completed | March 8, 2026, 2:42 p.m. |
| NEDg | Description generation | batch_69ad9575acf88190aa3fe80794534dd4 |
completed | March 8, 2026, 3:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad97a7128c819097ff36216f00d4f9 |
completed | March 8, 2026, 3:37 p.m. |
Created at: March 4, 2026, 7:30 p.m.