Triple
T13538087
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | D1 Arkema |
E323312
|
entity |
| Predicate | sponsorshipName |
P15097
|
FINISHED |
| Object | D1 Arkema |
E323312
|
NE FINISHED |
How this triple was built (2 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: D1 Arkema | Statement: [D1 Arkema, sponsorshipName, D1 Arkema]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: D1 Arkema Context triple: [D1 Arkema, sponsorshipName, D1 Arkema]
-
A.
D1 Arkema
chosen
D1 Arkema is the top-tier professional women's football league in France, featuring the country's highest-level female clubs.
-
B.
Arkema
Arkema is a French multinational specialty chemicals and advanced materials company known for its innovations in adhesives, coatings, and performance polymers.
-
C.
Ace Chemicals
Ace Chemicals is a notorious industrial chemical plant in Gotham City, best known in Batman lore as the site of the Joker’s origin.
-
D.
Lucky Chemical
Lucky Chemical is a chemical company, likely operating in industrial or specialty chemicals, that is associated with the GoldStar brand or organization.
-
E.
Buna chemical works
Buna chemical works was a major synthetic rubber and chemical production complex in East Germany, historically significant as one of the largest industrial plants in the region.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d8076776248190bdf0d4fa1f85a5fc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafbe39948190808062d4eff91841 |
completed | April 12, 2026, 2:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75d9c04b881908a359df791b89b43 |
completed | May 3, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:45 p.m.