Triple
T20363612
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aunis |
E496848
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Marans
Marans is a small historic town in western France’s Charente-Maritime department, known for its canals, marshlands, and proximity to La Rochelle.
|
E1426286
|
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: Marans | Statement: [Aunis, hasCity, Marans]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marans Context triple: [Aunis, hasCity, Marans]
-
A.
Marans
Marans is a French chicken breed renowned for its dark chocolate-brown eggs and dual-purpose use for both meat and egg production.
-
B.
Piétrain
Piétrain is a village in Walloon Brabant, Belgium, best known as the namesake origin of the Piétrain pig breed.
-
C.
Carliers
Carliers is a metro station on the Lille Metro system in northern France.
-
D.
Poulain
Poulain is the surname of Amélie, the whimsical and introverted protagonist of the French film "Amélie."
-
E.
Grand Louvetier de France
The Grand Louvetier de France was a high-ranking royal officer of the French monarchy responsible for overseeing and organizing the king’s wolf hunts and broader control of wild game.
- 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: Marans Triple: [Aunis, hasCity, Marans]
Generated description
Marans is a small historic town in western France’s Charente-Maritime department, known for its canals, marshlands, and proximity to La Rochelle.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Marans Target entity description: Marans is a small historic town in western France’s Charente-Maritime department, known for its canals, marshlands, and proximity to La Rochelle.
-
A.
Marans
Marans is a French chicken breed renowned for its dark chocolate-brown eggs and dual-purpose use for both meat and egg production.
-
B.
Piétrain
Piétrain is a village in Walloon Brabant, Belgium, best known as the namesake origin of the Piétrain pig breed.
-
C.
Carliers
Carliers is a metro station on the Lille Metro system in northern France.
-
D.
Poulain
Poulain is the surname of Amélie, the whimsical and introverted protagonist of the French film "Amélie."
-
E.
Grand Louvetier de France
The Grand Louvetier de France was a high-ranking royal officer of the French monarchy responsible for overseeing and organizing the king’s wolf hunts and broader control of wild game.
- 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_69e0b4a4f9b081908a5a021919c21ccb |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6786fd0088190908187ab642344cc |
completed | April 20, 2026, 7:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a087087c86c8190b9964ba4b82abdec |
completed | May 16, 2026, 1:26 p.m. |
| NEDg | Description generation | batch_6a087129ce3c8190a67ac34ec697ad31 |
completed | May 16, 2026, 1:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0871e3573c81908216b5e508374081 |
completed | May 16, 2026, 1:32 p.m. |
Created at: April 16, 2026, 11:26 a.m.