Triple
T15319440
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heeze-Leende |
E366248
|
entity |
| Predicate | containsWaterBody |
P1778
|
FINISHED |
| Object |
Tongelreep
Tongelreep is a small river in the southern Netherlands, known for flowing through the province of North Brabant near Eindhoven.
|
E81451
|
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: Tongelreep | Statement: [Heeze-Leende, containsWaterBody, Tongelreep]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tongelreep Context triple: [Heeze-Leende, containsWaterBody, Tongelreep]
-
A.
Tongelre
Tongelre is a district in the Dutch city of Eindhoven, known for its mix of residential neighborhoods, green spaces, and former industrial areas.
-
B.
Tongaat
Tongaat is a town in KwaZulu-Natal, South Africa, known for its significant Indian community and sugar industry.
-
C.
Tatanga
Tatanga is a recurring alien villain in the Super Mario series, best known as the main antagonist of Super Mario Land and nemesis of Princess Daisy.
-
D.
Taongi
Taongi is a remote, uninhabited coral atoll in the Marshall Islands known for its rich marine biodiversity and relatively undisturbed natural environment.
-
E.
Tantamani
Tantamani was a Kushite king of the 25th Dynasty of Egypt, known for his brief attempt to restore Nubian control over Egypt before being driven back by the Assyrians.
- 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: Tongelreep Triple: [Heeze-Leende, containsWaterBody, Tongelreep]
Generated description
Tongelreep is a small river in the southern Netherlands, known for flowing through the province of North Brabant near Eindhoven.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tongelreep Target entity description: Tongelreep is a small river in the southern Netherlands, known for flowing through the province of North Brabant near Eindhoven.
-
A.
Tongelre
chosen
Tongelre is a district in the Dutch city of Eindhoven, known for its mix of residential neighborhoods, green spaces, and former industrial areas.
-
B.
Tongaat
Tongaat is a town in KwaZulu-Natal, South Africa, known for its significant Indian community and sugar industry.
-
C.
Tatanga
Tatanga is a recurring alien villain in the Super Mario series, best known as the main antagonist of Super Mario Land and nemesis of Princess Daisy.
-
D.
Taongi
Taongi is a remote, uninhabited coral atoll in the Marshall Islands known for its rich marine biodiversity and relatively undisturbed natural environment.
-
E.
Tantamani
Tantamani was a Kushite king of the 25th Dynasty of Egypt, known for his brief attempt to restore Nubian control over Egypt before being driven back by the Assyrians.
- F. None of above.
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_69d85a121520819093dcce999fdefe1a |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03dd356b881908f054b64eee6a371 |
completed | April 16, 2026, 1:39 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fef8a9085881909904152c32b0fed1 |
completed | May 9, 2026, 9:04 a.m. |
| NEDg | Description generation | batch_69fefc8251d08190bf8a764f83f89d7e |
completed | May 9, 2026, 9:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fefd6c2bf88190b17a03be7b3353e3 |
completed | May 9, 2026, 9:25 a.m. |
Created at: April 10, 2026, 3:16 a.m.