Triple
T12938510
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LDLC |
E309577
|
entity |
| Predicate | headquartersLocation |
P62
|
FINISHED |
| Object |
Limonest
Limonest is a commune in eastern France, near Lyon, known for hosting the headquarters of several technology and e-commerce companies.
|
E1011160
|
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: Limonest | Statement: [LDLC, headquartersLocation, Limonest]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Limonest Context triple: [LDLC, headquartersLocation, Limonest]
-
A.
Limonada
Limonada is a studio album by Puerto Rican singer-songwriter Kany García, known for its blend of Latin pop and introspective, emotionally rich songwriting.
-
B.
Lemonum
Lemonum was an important ancient Roman town in Gaul, located at the site of modern-day Poitiers in western France.
-
C.
Lime
Lime is a micromobility company best known for its app-based electric scooter and bike sharing services in cities around the world.
-
D.
Zitrone
Zitrone is a French surname most notably borne by Léon Zitrone, a prominent 20th-century television journalist and presenter in France.
-
E.
Lemonhope
Lemonhope is a recurring character from the animated series "Adventure Time," known as a lemon child who struggles with destiny and freedom after being rescued from the tyrannical Lemon Kingdom.
- 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: Limonest Triple: [LDLC, headquartersLocation, Limonest]
Generated description
Limonest is a commune in eastern France, near Lyon, known for hosting the headquarters of several technology and e-commerce companies.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Limonest Target entity description: Limonest is a commune in eastern France, near Lyon, known for hosting the headquarters of several technology and e-commerce companies.
-
A.
Limonada
Limonada is a studio album by Puerto Rican singer-songwriter Kany García, known for its blend of Latin pop and introspective, emotionally rich songwriting.
-
B.
Lemonum
Lemonum was an important ancient Roman town in Gaul, located at the site of modern-day Poitiers in western France.
-
C.
Lime
Lime is a micromobility company best known for its app-based electric scooter and bike sharing services in cities around the world.
-
D.
Zitrone
Zitrone is a French surname most notably borne by Léon Zitrone, a prominent 20th-century television journalist and presenter in France.
-
E.
Lemonhope
Lemonhope is a recurring character from the animated series "Adventure Time," known as a lemon child who struggles with destiny and freedom after being rescued from the tyrannical Lemon Kingdom.
- 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_69d7bdfa933c8190b5a27aa4a08a19b7 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97dc8c0848190946e109ec98e4479 |
completed | April 10, 2026, 10:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6af6ef89881908ec3138b9f4a8b1a |
completed | May 3, 2026, 2:14 a.m. |
| NEDg | Description generation | batch_69f6b0660b188190a67bfff73b882d92 |
completed | May 3, 2026, 2:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6b1aa191081908266128776a2147a |
completed | May 3, 2026, 2:23 a.m. |
Created at: April 9, 2026, 5:43 p.m.