Triple
T5720640
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waterland |
E126134
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Watergang
Watergang is a small village in the Dutch province of North Holland, known for its traditional polder landscape and characteristic waterways.
|
E540340
|
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: Watergang | Statement: [Waterland, containsSettlement, Watergang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Watergang Context triple: [Waterland, containsSettlement, Watergang]
-
A.
Tankerness
Tankerness is a rural settlement on the Orkney Islands of Scotland, known for its agricultural landscape and archaeological sites.
-
B.
The Seafarers
The Seafarers is a 1953 short documentary film and one of Stanley Kubrick’s early non-fiction works, focusing on the lives and organization of merchant seamen.
-
C.
Rotten Sea
Rotten Sea is an alternative name for Syvash, a large system of shallow, hypersaline lagoons on the northern coast of the Crimean Peninsula.
-
D.
Boatmen
Boatmen is the nickname and mascot identity associated with the Canadian Football League's Toronto Argonauts, reflecting the team's nautical heritage.
-
E.
Rusty Trawler
Rusty Trawler is a wealthy, socially prominent yet somewhat ridiculous character in Truman Capote’s novella "Breakfast at Tiffany’s."
- 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: Watergang Triple: [Waterland, containsSettlement, Watergang]
Generated description
Watergang is a small village in the Dutch province of North Holland, known for its traditional polder landscape and characteristic waterways.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Watergang Target entity description: Watergang is a small village in the Dutch province of North Holland, known for its traditional polder landscape and characteristic waterways.
-
A.
Tankerness
Tankerness is a rural settlement on the Orkney Islands of Scotland, known for its agricultural landscape and archaeological sites.
-
B.
The Seafarers
The Seafarers is a 1953 short documentary film and one of Stanley Kubrick’s early non-fiction works, focusing on the lives and organization of merchant seamen.
-
C.
Rotten Sea
Rotten Sea is an alternative name for Syvash, a large system of shallow, hypersaline lagoons on the northern coast of the Crimean Peninsula.
-
D.
Boatmen
Boatmen is the nickname and mascot identity associated with the Canadian Football League's Toronto Argonauts, reflecting the team's nautical heritage.
-
E.
Rusty Trawler
Rusty Trawler is a wealthy, socially prominent yet somewhat ridiculous character in Truman Capote’s novella "Breakfast at Tiffany’s."
- 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_69c0082e3d548190950169847b43043b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c024e328e08190a67e845b296e34e9 |
completed | March 22, 2026, 5:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c05a7db0788190b4a5e7b5d9c94588 |
completed | March 22, 2026, 9:09 p.m. |
| NEDg | Description generation | batch_69c05b7c3bd48190ad8303bf1bb3ec6a |
completed | March 22, 2026, 9:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c05c22c31081909a9a67d99e7c728c |
completed | March 22, 2026, 9:16 p.m. |
Created at: March 22, 2026, 3:46 p.m.