Triple
T4121799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dutch Coromandel |
E92628
|
entity |
| Predicate | hadFort |
P3479
|
FINISHED |
| Object |
Fort Vijf Sinnen
Fort Vijf Sinnen was a Dutch colonial fort on the Coromandel Coast of India that served as a strategic trading and military outpost of the Dutch East India Company.
|
E416088
|
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: Fort Vijf Sinnen | Statement: [Dutch Coromandel, hadFort, Fort Vijf Sinnen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fort Vijf Sinnen Context triple: [Dutch Coromandel, hadFort, Fort Vijf Sinnen]
-
A.
Fort Vijfhuizen
Fort Vijfhuizen is a historic Dutch fort that forms part of the UNESCO-listed Defence Line of Amsterdam, now often used for cultural and recreational purposes.
-
B.
Gevangenpoort
Gevangenpoort is a historic city gate and former prison in Bergen op Zoom, Netherlands, known as one of the town’s most prominent medieval landmarks.
-
C.
Hampoort
Hampoort is a historic city gate, likely part of the old fortifications of a European town or city.
-
D.
Gilze en Rijen
Gilze en Rijen is a municipality and town in the southern Netherlands known for its proximity to Breda and its military air base.
-
E.
Soestdijk
Soestdijk is a village in the Netherlands known for its historic royal residence, Soestdijk Palace.
- 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: Fort Vijf Sinnen Triple: [Dutch Coromandel, hadFort, Fort Vijf Sinnen]
Generated description
Fort Vijf Sinnen was a Dutch colonial fort on the Coromandel Coast of India that served as a strategic trading and military outpost of the Dutch East India Company.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fort Vijf Sinnen Target entity description: Fort Vijf Sinnen was a Dutch colonial fort on the Coromandel Coast of India that served as a strategic trading and military outpost of the Dutch East India Company.
-
A.
Fort Vijfhuizen
Fort Vijfhuizen is a historic Dutch fort that forms part of the UNESCO-listed Defence Line of Amsterdam, now often used for cultural and recreational purposes.
-
B.
Gevangenpoort
Gevangenpoort is a historic city gate and former prison in Bergen op Zoom, Netherlands, known as one of the town’s most prominent medieval landmarks.
-
C.
Hampoort
Hampoort is a historic city gate, likely part of the old fortifications of a European town or city.
-
D.
Gilze en Rijen
Gilze en Rijen is a municipality and town in the southern Netherlands known for its proximity to Breda and its military air base.
-
E.
Soestdijk
Soestdijk is a village in the Netherlands known for its historic royal residence, Soestdijk Palace.
- 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_69aed9685f70819086932777aec8d959 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69af020549dc8190a81a5dbbf70288c7 |
completed | March 9, 2026, 5:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b576b13cc881908fea25c686141546 |
completed | March 14, 2026, 2:54 p.m. |
| NEDg | Description generation | batch_69b577ac31888190b6182b00bd5c709f |
completed | March 14, 2026, 2:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b57839ee548190804ef306fc9b3a6e |
completed | March 14, 2026, 3:01 p.m. |
Created at: March 9, 2026, 3:41 p.m.