Triple
T13538160
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arkema |
E323313
|
entity |
| Predicate | notableBrand |
P1500
|
FINISHED |
| Object |
Rilsan
Rilsan is a high-performance bio-based polyamide (nylon) material widely used for its durability, chemical resistance, and flexibility in demanding industrial applications.
|
E1047922
|
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: Rilsan | Statement: [Arkema, notableBrand, Rilsan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rilsan Context triple: [Arkema, notableBrand, Rilsan]
-
A.
Bondo
Bondo is a town in western Kenya’s Nyanza region, known as an administrative and commercial center near Lake Victoria.
-
B.
Braucol
Braucol is a red wine grape variety from southwest France, particularly associated with the Gaillac region, known for producing deeply colored, robust wines with spicy, dark-fruit aromas.
-
C.
Nomex
Nomex is a high-performance, flame-resistant aramid fiber widely used in protective clothing and industrial applications for its heat and fire resistance.
-
D.
Dalmine
Dalmine is an industrial town in northern Italy known for its steel production and manufacturing activities.
-
E.
LouSeal
LouSeal is the playful seal mascot of the Columbus Clippers minor league baseball team, entertaining fans at games in Columbus, Ohio.
- 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: Rilsan Triple: [Arkema, notableBrand, Rilsan]
Generated description
Rilsan is a high-performance bio-based polyamide (nylon) material widely used for its durability, chemical resistance, and flexibility in demanding industrial applications.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rilsan Target entity description: Rilsan is a high-performance bio-based polyamide (nylon) material widely used for its durability, chemical resistance, and flexibility in demanding industrial applications.
-
A.
Bondo
Bondo is a town in western Kenya’s Nyanza region, known as an administrative and commercial center near Lake Victoria.
-
B.
Braucol
Braucol is a red wine grape variety from southwest France, particularly associated with the Gaillac region, known for producing deeply colored, robust wines with spicy, dark-fruit aromas.
-
C.
Nomex
Nomex is a high-performance, flame-resistant aramid fiber widely used in protective clothing and industrial applications for its heat and fire resistance.
-
D.
Dalmine
Dalmine is an industrial town in northern Italy known for its steel production and manufacturing activities.
-
E.
LouSeal
LouSeal is the playful seal mascot of the Columbus Clippers minor league baseball team, entertaining fans at games in Columbus, Ohio.
- 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_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. |
| NEDg | Description generation | batch_69f761e020708190a21ad4c0bc11d730 |
completed | May 3, 2026, 2:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f765d0f9d88190b91097a359043860 |
completed | May 3, 2026, 3:12 p.m. |
Created at: April 9, 2026, 9:45 p.m.