Triple
T12116557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grootegast |
E288576
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Sebaldeburen |
E472670
|
NE FINISHED |
How this triple was built (2 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: Sebaldeburen | Statement: [Grootegast, hasSettlement, Sebaldeburen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sebaldeburen Context triple: [Grootegast, hasSettlement, Sebaldeburen]
-
A.
Sebaldeburen
chosen
Sebaldeburen is a small village in the province of Groningen in the Netherlands, situated in the rural northwest of the country.
-
B.
Urrugne
Urrugne is a commune in the Pyrénées-Atlantiques department of southwestern France, located in the Basque Country near the Atlantic coast and the Spanish border.
-
C.
Seibeld
Seibeld is a German surname most notably borne by politician Cornelia Seibeld.
-
D.
Belbali
Belbali is an alternative name for the Korandje language, a minority Zenati Berber language spoken in the oasis of Tabelbala in southwestern Algeria.
-
E.
Berchidda
Berchidda is a small town in the Gallura region of northern Sardinia, Italy, known for its rural character and traditional Sardinian culture.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6ab4a5c448190a110d1273314b21a |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9156921dc8190aa132b0ab3a7c184 |
completed | April 10, 2026, 3:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f67f9c30819089305d5d42210c34 |
completed | May 2, 2026, 1:05 p.m. |
Created at: April 8, 2026, 9:49 p.m.