Triple
T791892
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grevelingen |
E16931
|
entity |
| Predicate | hasPort |
P35
|
FINISHED |
| Object |
Den Osse
Den Osse is a small Dutch coastal village and marina resort on the Grevelingenmeer, known for water sports, diving, and recreational tourism.
|
E94740
|
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: Den Osse | Statement: [Grevelingen, hasPort, Den Osse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Den Osse Context triple: [Grevelingen, hasPort, Den Osse]
-
A.
Gjallarhorn
Gjallarhorn is the resounding horn of the god Heimdall in Norse mythology, famously used to signal the onset of Ragnarök.
-
B.
Oni
Oni is a small town in the Racha region of northwestern Georgia, known for its mountainous surroundings and traditional Georgian architecture.
-
C.
The Pit
The Pit is a famed college basketball arena in Albuquerque, New Mexico, renowned for its intense atmosphere and distinctive sunken design.
-
D.
Oksskolten
Oksskolten is the highest mountain in Northern Norway, known for its prominent peak in the Okstindan range.
-
E.
Hölldobler
Hölldobler is a German surname most notably associated with Bert Hölldobler, a prominent behavioral ecologist and myrmecologist known for his research on ants.
- 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: Den Osse Triple: [Grevelingen, hasPort, Den Osse]
Generated description
Den Osse is a small Dutch coastal village and marina resort on the Grevelingenmeer, known for water sports, diving, and recreational tourism.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Den Osse Target entity description: Den Osse is a small Dutch coastal village and marina resort on the Grevelingenmeer, known for water sports, diving, and recreational tourism.
-
A.
Gjallarhorn
Gjallarhorn is the resounding horn of the god Heimdall in Norse mythology, famously used to signal the onset of Ragnarök.
-
B.
Oni
Oni is a small town in the Racha region of northwestern Georgia, known for its mountainous surroundings and traditional Georgian architecture.
-
C.
The Pit
The Pit is a famed college basketball arena in Albuquerque, New Mexico, renowned for its intense atmosphere and distinctive sunken design.
-
D.
Oksskolten
Oksskolten is the highest mountain in Northern Norway, known for its prominent peak in the Okstindan range.
-
E.
Hölldobler
Hölldobler is a German surname most notably associated with Bert Hölldobler, a prominent behavioral ecologist and myrmecologist known for his research on ants.
- 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_69a67effd3b481909036bdc43d7b909f |
completed | March 3, 2026, 6:26 a.m. |
| NEDg | Description generation | batch_69a67fd11a5081909d068eabe31b2187 |
completed | March 3, 2026, 6:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a680bae34481909255d07f325d97d4 |
completed | March 3, 2026, 6:33 a.m. |
Created at: March 1, 2026, 7:38 p.m.