Triple
T10947131
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prinses Margrietkanaal |
E258625
|
entity |
| Predicate | nearbyTown |
P3883
|
FINISHED |
| Object |
Grou
Grou is a small waterside town in the Dutch province of Friesland, known for its boating, water sports, and traditional Frisian character.
|
E895679
|
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: Grou | Statement: [Prinses Margrietkanaal, nearbyTown, Grou]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grou Context triple: [Prinses Margrietkanaal, nearbyTown, Grou]
-
A.
Griz
Griz is the popular nickname for the University of Montana’s Montana Grizzlies football team, a prominent program in NCAA Division I FCS.
-
B.
Orcines
Orcines is a commune in central France’s Puy-de-Dôme department, known for its proximity to the Chaîne des Puys volcanic range.
-
C.
Grawp
Grawp is a giant and the half-brother of Rubeus Hagrid who appears in the Harry Potter series.
-
D.
Gusu
Gusu is an ancient name for the city of Suzhou, historically renowned as a cultural and economic center famed for its classical gardens, canals, and silk.
-
E.
Gupis
Gupis is a village and scenic valley area in the Ghizer District of Gilgit-Baltistan, Pakistan, known for its mountainous landscapes and proximity to the Gilgit River.
- 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: Grou Triple: [Prinses Margrietkanaal, nearbyTown, Grou]
Generated description
Grou is a small waterside town in the Dutch province of Friesland, known for its boating, water sports, and traditional Frisian character.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Grou Target entity description: Grou is a small waterside town in the Dutch province of Friesland, known for its boating, water sports, and traditional Frisian character.
-
A.
Griz
Griz is the popular nickname for the University of Montana’s Montana Grizzlies football team, a prominent program in NCAA Division I FCS.
-
B.
Orcines
Orcines is a commune in central France’s Puy-de-Dôme department, known for its proximity to the Chaîne des Puys volcanic range.
-
C.
Grawp
Grawp is a giant and the half-brother of Rubeus Hagrid who appears in the Harry Potter series.
-
D.
Gusu
Gusu is an ancient name for the city of Suzhou, historically renowned as a cultural and economic center famed for its classical gardens, canals, and silk.
-
E.
Gupis
Gupis is a village and scenic valley area in the Ghizer District of Gilgit-Baltistan, Pakistan, known for its mountainous landscapes and proximity to the Gilgit River.
- 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_69d6aa8769b4819082bfe5e61b9017f0 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d770eaaea08190b06e508600d8a305 |
completed | April 9, 2026, 9:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e23c3c885081908edcece772b2e759 |
completed | April 17, 2026, 1:57 p.m. |
| NEDg | Description generation | batch_69e24542b4f081909c97621f04da8ecc |
completed | April 17, 2026, 2:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e248f7f96481909fa6e6cd07891566 |
completed | April 17, 2026, 2:51 p.m. |
Created at: April 8, 2026, 9:23 p.m.