Triple
T21244301
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | arrondissement of Boulogne-sur-Mer |
E523561
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Tardinghen
Tardinghen is a small coastal commune in northern France, known for its scenic beaches and rural landscapes near the English Channel.
|
E1472915
|
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: Tardinghen | Statement: [arrondissement of Boulogne-sur-Mer, contains, Tardinghen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tardinghen Context triple: [arrondissement of Boulogne-sur-Mer, contains, Tardinghen]
-
A.
Hanlith
Hanlith is a small rural village in North Yorkshire, England, situated in the scenic Yorkshire Dales.
-
B.
Phillack
Phillack is a village in Cornwall, England, situated just north of the coastal town of Hayle and known for its historic parish church and proximity to St Ives Bay.
-
C.
Torphichen
Torphichen is a historic village in central Scotland known for its medieval preceptory of the Knights Hospitaller and its picturesque rural setting.
-
D.
Hellingly
Hellingly is a village and civil parish in East Sussex, England, known for its rural character and historic parish church.
-
E.
Trawden
Trawden is a rural village and civil parish in Lancashire, England, known for its moorland scenery and former textile mill heritage.
- 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: Tardinghen Triple: [arrondissement of Boulogne-sur-Mer, contains, Tardinghen]
Generated description
Tardinghen is a small coastal commune in northern France, known for its scenic beaches and rural landscapes near the English Channel.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tardinghen Target entity description: Tardinghen is a small coastal commune in northern France, known for its scenic beaches and rural landscapes near the English Channel.
-
A.
Hanlith
Hanlith is a small rural village in North Yorkshire, England, situated in the scenic Yorkshire Dales.
-
B.
Phillack
Phillack is a village in Cornwall, England, situated just north of the coastal town of Hayle and known for its historic parish church and proximity to St Ives Bay.
-
C.
Torphichen
Torphichen is a historic village in central Scotland known for its medieval preceptory of the Knights Hospitaller and its picturesque rural setting.
-
D.
Hellingly
Hellingly is a village and civil parish in East Sussex, England, known for its rural character and historic parish church.
-
E.
Trawden
Trawden is a rural village and civil parish in Lancashire, England, known for its moorland scenery and former textile mill heritage.
- 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_69e0b513b89c81908b27147e91368db2 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7352621488190bd74c57798c7d658 |
completed | April 21, 2026, 8:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0986f705808190ba3a85d2dacb8818 |
completed | May 17, 2026, 9:14 a.m. |
| NEDg | Description generation | batch_6a0988086a648190856057c1327a6ab1 |
completed | May 17, 2026, 9:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0988d4ada081909fe532955b204b94 |
completed | May 17, 2026, 9:22 a.m. |
Created at: April 16, 2026, 3:47 p.m.