Triple
T5509570
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | De Wolden |
E144528
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Linde
Linde is a village in the Dutch municipality of De Wolden in the province of Drenthe.
|
E528348
|
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: Linde | Statement: [De Wolden, hasPart, Linde]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Linde Context triple: [De Wolden, hasPart, Linde]
-
A.
Linde
Linde is a given name, often used in Germanic and Scandinavian countries, that is related to or derived from the name Linda.
-
B.
Linde Air Products Company
Linde Air Products Company is an industrial gas and chemical company historically involved in large-scale production and processing operations, including work related to uranium facilities.
-
C.
Matheson
Matheson is a surname of Scottish origin borne by various notable individuals, including acclaimed American writer Richard Matheson.
-
D.
Arkema
Arkema is a French multinational specialty chemicals and advanced materials company known for its innovations in adhesives, coatings, and performance polymers.
-
E.
Bühler
Bühler is a German-language surname borne by various notable individuals across fields such as politics, sports, and academia.
- 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: Linde Triple: [De Wolden, hasPart, Linde]
Generated description
Linde is a village in the Dutch municipality of De Wolden in the province of Drenthe.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Linde Target entity description: Linde is a village in the Dutch municipality of De Wolden in the province of Drenthe.
-
A.
Linde
Linde is a given name, often used in Germanic and Scandinavian countries, that is related to or derived from the name Linda.
-
B.
Linde Air Products Company
Linde Air Products Company is an industrial gas and chemical company historically involved in large-scale production and processing operations, including work related to uranium facilities.
-
C.
Matheson
Matheson is a surname of Scottish origin borne by various notable individuals, including acclaimed American writer Richard Matheson.
-
D.
Arkema
Arkema is a French multinational specialty chemicals and advanced materials company known for its innovations in adhesives, coatings, and performance polymers.
-
E.
Bühler
Bühler is a German-language surname borne by various notable individuals across fields such as politics, sports, and academia.
- 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_69c008f6b5048190a09064116062cf69 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01f4ba90c8190ad22e5de84c545f9 |
completed | March 22, 2026, 4:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c027c4b6c0819086c7c64911c7106e |
completed | March 22, 2026, 5:32 p.m. |
| NEDg | Description generation | batch_69c033dc91e08190888fb6e94027fbdb |
completed | March 22, 2026, 6:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c03460b21481908b78aa4bdc989d2c |
completed | March 22, 2026, 6:26 p.m. |
Created at: March 22, 2026, 3:33 p.m.