Triple
T14720466
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Château de Candé |
E345797
|
entity |
| Predicate | municipality |
P852
|
FINISHED |
| Object |
Monts
Monts is a commune in central France’s Indre-et-Loire department, known for its historic Château de Candé and its location near Tours.
|
E1115551
|
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: Monts | Statement: [Château de Candé, municipality, Monts]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Monts Context triple: [Château de Candé, municipality, Monts]
-
A.
Montagne
Montagne was a prominent French ship of the line that served as the flagship of the French fleet during the late 18th century.
-
B.
Mountains
Mountains is an episode of the BBC nature documentary series Planet Earth II that explores wildlife and ecosystems in some of the world’s highest and most remote mountain ranges.
-
C.
Berge
Berge is a Norwegian surname most notably borne by politician Gunnar Berge.
-
D.
Valtos Mountains
The Valtos Mountains are a rugged mountain range in western Greece, forming part of the interior highlands of the Aetolia-Acarnania region.
-
E.
Havre Mountains
The Havre Mountains are a mountain range located on Alexander Island off the coast of Antarctica.
- 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: Monts Triple: [Château de Candé, municipality, Monts]
Generated description
Monts is a commune in central France’s Indre-et-Loire department, known for its historic Château de Candé and its location near Tours.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Monts Target entity description: Monts is a commune in central France’s Indre-et-Loire department, known for its historic Château de Candé and its location near Tours.
-
A.
Montagne
Montagne was a prominent French ship of the line that served as the flagship of the French fleet during the late 18th century.
-
B.
Mountains
Mountains is an episode of the BBC nature documentary series Planet Earth II that explores wildlife and ecosystems in some of the world’s highest and most remote mountain ranges.
-
C.
Berge
Berge is a Norwegian surname most notably borne by politician Gunnar Berge.
-
D.
Valtos Mountains
The Valtos Mountains are a rugged mountain range in western Greece, forming part of the interior highlands of the Aetolia-Acarnania region.
-
E.
Havre Mountains
The Havre Mountains are a mountain range located on Alexander Island off the coast of Antarctica.
- 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_69d822e5911c8190ba589f957dbd9ba7 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb98823408190b4b58a4c4a3fa3a3 |
completed | April 14, 2026, 10:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdf0957bb081908f1f382f3be8ec20 |
completed | May 8, 2026, 2:17 p.m. |
| NEDg | Description generation | batch_69fdf440a03c8190886119ab3c8ab610 |
completed | May 8, 2026, 2:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdf4f2acbc8190b51ee456093a2813 |
completed | May 8, 2026, 2:36 p.m. |
Created at: April 10, 2026, 1:29 a.m.