Triple
T21244309
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | arrondissement of Boulogne-sur-Mer |
E523561
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Dannes
Dannes is a small commune in the Pas-de-Calais department in northern France, situated within the arrondissement of Boulogne-sur-Mer.
|
E1472921
|
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: Dannes | Statement: [arrondissement of Boulogne-sur-Mer, contains, Dannes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dannes Context triple: [arrondissement of Boulogne-sur-Mer, contains, Dannes]
-
A.
Danneels
Danneels is a Belgian surname most notably associated with Cardinal Godfried Danneels, a prominent Roman Catholic prelate and former Archbishop of Mechelen-Brussels.
-
B.
Danan
Danan is a town located in the Galguduud region of central Somalia.
-
C.
Giæver
Giæver is a Norwegian surname borne by several notable figures in fields such as physics, literature, and public service.
-
D.
Helleren
Helleren is a small historic settlement in Norway known for its traditional houses built under a large rock overhang near the Jøssingfjord.
-
E.
Dannel
Dannel is the given name of Dannel P. Malloy, an American politician who served as the 88th governor of Connecticut.
- 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: Dannes Triple: [arrondissement of Boulogne-sur-Mer, contains, Dannes]
Generated description
Dannes is a small commune in the Pas-de-Calais department in northern France, situated within the arrondissement of Boulogne-sur-Mer.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dannes Target entity description: Dannes is a small commune in the Pas-de-Calais department in northern France, situated within the arrondissement of Boulogne-sur-Mer.
-
A.
Danneels
Danneels is a Belgian surname most notably associated with Cardinal Godfried Danneels, a prominent Roman Catholic prelate and former Archbishop of Mechelen-Brussels.
-
B.
Danan
Danan is a town located in the Galguduud region of central Somalia.
-
C.
Giæver
Giæver is a Norwegian surname borne by several notable figures in fields such as physics, literature, and public service.
-
D.
Helleren
Helleren is a small historic settlement in Norway known for its traditional houses built under a large rock overhang near the Jøssingfjord.
-
E.
Dannel
Dannel is the given name of Dannel P. Malloy, an American politician who served as the 88th governor of Connecticut.
- 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.