Triple
T13538086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | D1 Arkema |
E323312
|
entity |
| Predicate | sponsor |
P67
|
FINISHED |
| Object | Arkema |
E323313
|
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: Arkema | Statement: [D1 Arkema, sponsor, Arkema]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arkema Context triple: [D1 Arkema, sponsor, Arkema]
-
A.
Arkema
chosen
Arkema is a French multinational specialty chemicals and advanced materials company known for its innovations in adhesives, coatings, and performance polymers.
-
B.
Coumet
Coumet is a French surname most notably borne by Jérôme Coumet, a contemporary French politician.
-
C.
Rhodia
Rhodia is a fictional alien planet in the Doctor Who universe, known primarily as the homeworld of the character Miss Quill from the spin-off series "Class."
-
D.
Ineos
Ineos is a large multinational chemicals and energy company based in the United Kingdom, known for its extensive portfolio of petrochemical, oil, gas, and manufacturing operations worldwide.
-
E.
Chemours
Chemours is a U.S.-based chemical company known for producing performance chemicals and advanced materials, including the nonstick coating brand Teflon.
- 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.