Triple
T791890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grevelingen |
E16931
|
entity |
| Predicate | hasPort |
P35
|
FINISHED |
| Object |
Bruinisse
Bruinisse is a fishing village and tourist destination in the Dutch province of Zeeland, known for its mussel industry and location on the Grevelingen.
|
E104270
|
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: Bruinisse | Statement: [Grevelingen, hasPort, Bruinisse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bruinisse Context triple: [Grevelingen, hasPort, Bruinisse]
-
A.
Baïse
Baïse is a river in southwestern France that flows through the Occitanie and Nouvelle-Aquitaine regions before joining the Garonne.
-
B.
Zwartewaal
Zwartewaal is a small village in the western Netherlands, located in the province of South Holland.
-
C.
Spui
Spui is a central square and tram hub in Amsterdam, Netherlands, known for its bookstores, cultural venues, and proximity to historic canals.
-
D.
Egegik
Egegik is a dialect of the Central Alaskan Yup’ik language traditionally spoken in the Egegik region of southwestern Alaska.
-
E.
De Dam
De Dam is Amsterdam’s central and historic main square, known for its royal palace, national monument, and role as a major public gathering place.
- 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: Bruinisse Triple: [Grevelingen, hasPort, Bruinisse]
Generated description
Bruinisse is a fishing village and tourist destination in the Dutch province of Zeeland, known for its mussel industry and location on the Grevelingen.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bruinisse Target entity description: Bruinisse is a fishing village and tourist destination in the Dutch province of Zeeland, known for its mussel industry and location on the Grevelingen.
-
A.
Baïse
Baïse is a river in southwestern France that flows through the Occitanie and Nouvelle-Aquitaine regions before joining the Garonne.
-
B.
Zwartewaal
Zwartewaal is a small village in the western Netherlands, located in the province of South Holland.
-
C.
Spui
Spui is a central square and tram hub in Amsterdam, Netherlands, known for its bookstores, cultural venues, and proximity to historic canals.
-
D.
Egegik
Egegik is a dialect of the Central Alaskan Yup’ik language traditionally spoken in the Egegik region of southwestern Alaska.
-
E.
De Dam
De Dam is Amsterdam’s central and historic main square, known for its royal palace, national monument, and role as a major public gathering place.
- 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_69a4936cb7448190914f5fe4b8d81607 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a798c7608190b9c79c52a1fe0859 |
completed | March 1, 2026, 8:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7b83f0fb4819097f29c9ab90cf1a8 |
completed | March 4, 2026, 4:42 a.m. |
| NEDg | Description generation | batch_69a7bc1acf708190aa86cd5eca101966 |
completed | March 4, 2026, 4:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a7bc96dd2881909310147292b99023 |
completed | March 4, 2026, 5:01 a.m. |
Created at: March 1, 2026, 7:38 p.m.