Triple
T21851565
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | S33 |
E539515
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Shatton
Shatton is a small rural settlement, likely a village or hamlet, situated within the area designated as S33 in the United Kingdom.
|
E1504456
|
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: Shatton | Statement: [S33, containsSettlement, Shatton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shatton Context triple: [S33, containsSettlement, Shatton]
-
A.
Leschaux
Leschaux is a small commune in the Haute-Savoie department of southeastern France, situated in the Alps near the Semnoz massif.
-
B.
Taradeau
Taradeau is a small commune in the Var department of southeastern France, known for its Provençal countryside, vineyards, and proximity to the Massif des Maures.
-
C.
Muriaux
Muriaux is a small municipality located in the Franches-Montagnes district of the canton of Jura in northwestern Switzerland.
-
D.
Boischatel
Boischatel is a small suburban municipality in the Capitale-Nationale region of Quebec, Canada, located just east of Quebec City along the Montmorency River.
-
E.
Larroquette
Larroquette is the surname of John Larroquette, an American actor best known for his Emmy-winning role as Dan Fielding on the sitcom "Night Court."
- 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: Shatton Triple: [S33, containsSettlement, Shatton]
Generated description
Shatton is a small rural settlement, likely a village or hamlet, situated within the area designated as S33 in the United Kingdom.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Shatton Target entity description: Shatton is a small rural settlement, likely a village or hamlet, situated within the area designated as S33 in the United Kingdom.
-
A.
Leschaux
Leschaux is a small commune in the Haute-Savoie department of southeastern France, situated in the Alps near the Semnoz massif.
-
B.
Taradeau
Taradeau is a small commune in the Var department of southeastern France, known for its Provençal countryside, vineyards, and proximity to the Massif des Maures.
-
C.
Muriaux
Muriaux is a small municipality located in the Franches-Montagnes district of the canton of Jura in northwestern Switzerland.
-
D.
Boischatel
Boischatel is a small suburban municipality in the Capitale-Nationale region of Quebec, Canada, located just east of Quebec City along the Montmorency River.
-
E.
Larroquette
Larroquette is the surname of John Larroquette, an American actor best known for his Emmy-winning role as Dan Fielding on the sitcom "Night Court."
- 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_69e0c476c3c88190a92d08ebb59a128a |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f0bd59bcbc819093829feb152e090d |
completed | April 28, 2026, 1:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a4bd2b97c8190a46acd410777a318 |
completed | May 17, 2026, 11:14 p.m. |
| NEDg | Description generation | batch_6a0a4cdcbd78819099edb69c4a8426d3 |
completed | May 17, 2026, 11:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a4d5d1b448190ba4387b0a3cc4285 |
completed | May 17, 2026, 11:21 p.m. |
Created at: April 16, 2026, 6:56 p.m.