Triple
T2207019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sarpsborg |
E50822
|
entity |
| Predicate | hasMajorCompany |
P588
|
FINISHED |
| Object |
Borregaard
Borregaard is a Norwegian biorefinery company that produces advanced and sustainable bio-based chemicals and materials from wood.
|
E245868
|
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: Borregaard | Statement: [Sarpsborg, hasMajorCompany, Borregaard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Borregaard Context triple: [Sarpsborg, hasMajorCompany, Borregaard]
-
A.
Tengbom
Tengbom is a prominent Swedish architectural firm known for its influential role in shaping modern Scandinavian architecture.
-
B.
Hillenbrand
Hillenbrand is a surname of German origin borne by various notable individuals in fields such as diplomacy, literature, and sports.
-
C.
Solbo
Solbo is a locality within Botkyrka Municipality in Stockholm County, Sweden.
-
D.
Brinkman
Brinkman is a surname of Germanic origin borne by various notable individuals across fields such as sports, politics, and the arts.
-
E.
Avegno
Avegno is a French-origin surname notably borne by Virginie Amélie Avegno Gautreau, the socialite immortalized in John Singer Sargent’s famous portrait "Madame X."
- 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: Borregaard Triple: [Sarpsborg, hasMajorCompany, Borregaard]
Generated description
Borregaard is a Norwegian biorefinery company that produces advanced and sustainable bio-based chemicals and materials from wood.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Borregaard Target entity description: Borregaard is a Norwegian biorefinery company that produces advanced and sustainable bio-based chemicals and materials from wood.
-
A.
Tengbom
Tengbom is a prominent Swedish architectural firm known for its influential role in shaping modern Scandinavian architecture.
-
B.
Hillenbrand
Hillenbrand is a surname of German origin borne by various notable individuals in fields such as diplomacy, literature, and sports.
-
C.
Solbo
Solbo is a locality within Botkyrka Municipality in Stockholm County, Sweden.
-
D.
Brinkman
Brinkman is a surname of Germanic origin borne by various notable individuals across fields such as sports, politics, and the arts.
-
E.
Avegno
Avegno is a French-origin surname notably borne by Virginie Amélie Avegno Gautreau, the socialite immortalized in John Singer Sargent’s famous portrait "Madame X."
- 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_69a88b06709c8190978fb2418470d1b6 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abbfcbb83081908d5b2f1603c7b4d2 |
completed | March 7, 2026, 6:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae654b89b081908f8c8b9bfc0b6579 |
completed | March 9, 2026, 6:14 a.m. |
| NEDg | Description generation | batch_69ae667dede88190b3d1f8bb8866e19e |
completed | March 9, 2026, 6:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae66f12c648190a146de7b2bfdb541 |
completed | March 9, 2026, 6:21 a.m. |
Created at: March 4, 2026, 7:46 p.m.