Triple
T23113457
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chemelot industrial complex |
E576383
|
entity |
| Predicate | mainTenant |
P18754
|
FINISHED |
| Object | Arlanxeo |
—
|
NE NERFINISHED |
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: Arlanxeo | Statement: [Chemelot industrial complex, mainTenant, Arlanxeo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arlanxeo Context triple: [Chemelot industrial complex, mainTenant, Arlanxeo]
-
A.
Arlanxeo
chosen
Arlanxeo is a global synthetic rubber company specializing in high-performance elastomer products for the automotive, construction, and industrial sectors.
-
B.
Alixan
Alixan is a commune in southeastern France, near Valence in the Drôme department, known for hosting the Valence TGV high-speed rail station.
-
C.
Aranos
Aranos is a small town in southern Namibia known for its farming community and location within the arid Hardap Region.
-
D.
Avelar
Avelar is a civil parish and locality within the municipality of Ansião in central Portugal.
-
E.
Arbatax
Arbatax is a coastal town and port on the eastern coast of Sardinia, Italy, known for its red rock formations and ferry connections.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245f4af548190898d434a64a1e774 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18e1121c08190a1d29fe594071c46 |
completed | April 29, 2026, 4:50 a.m. |
Created at: April 17, 2026, 3:58 p.m.