Triple
T12938518
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LDLC |
E309577
|
entity |
| Predicate | hasSubsidiary |
P254
|
FINISHED |
| Object |
Top Achat
Top Achat is a French online retailer specializing in computer hardware, electronics, and tech components.
|
E1010798
|
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: Top Achat | Statement: [LDLC, hasSubsidiary, Top Achat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Top Achat Context triple: [LDLC, hasSubsidiary, Top Achat]
-
A.
Top Withens
Top Withens is a ruined farmhouse on the moors near Haworth in West Yorkshire, England, traditionally associated with having inspired the setting of Emily Brontë’s novel "Wuthering Heights."
-
B.
Zákupy
Zákupy is a small historic town in the Liberec Region of the Czech Republic, known for its Renaissance-Baroque chateau and its association with the Habsburg dynasty.
-
C.
GoMart
GoMart is Gojek’s on-demand grocery and daily essentials delivery service available through the Gojek super app.
-
D.
Topes
"Topes" is a commonly used nickname for the Albuquerque Isotopes, a Minor League Baseball team based in Albuquerque, New Mexico.
-
E.
Buy
Buy is a historic town in Kostroma Oblast, Russia, known for its long-standing regional significance and traditional Russian provincial character.
- 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: Top Achat Triple: [LDLC, hasSubsidiary, Top Achat]
Generated description
Top Achat is a French online retailer specializing in computer hardware, electronics, and tech components.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Top Achat Target entity description: Top Achat is a French online retailer specializing in computer hardware, electronics, and tech components.
-
A.
Top Withens
Top Withens is a ruined farmhouse on the moors near Haworth in West Yorkshire, England, traditionally associated with having inspired the setting of Emily Brontë’s novel "Wuthering Heights."
-
B.
Zákupy
Zákupy is a small historic town in the Liberec Region of the Czech Republic, known for its Renaissance-Baroque chateau and its association with the Habsburg dynasty.
-
C.
GoMart
GoMart is Gojek’s on-demand grocery and daily essentials delivery service available through the Gojek super app.
-
D.
Topes
"Topes" is a commonly used nickname for the Albuquerque Isotopes, a Minor League Baseball team based in Albuquerque, New Mexico.
-
E.
Buy
Buy is a historic town in Kostroma Oblast, Russia, known for its long-standing regional significance and traditional Russian provincial character.
- 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_69f6b1ae645c8190a7c3e5f926c6a487 |
completed | May 3, 2026, 2:23 a.m. |
Created at: April 9, 2026, 5:43 p.m.