Triple
T1381574
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emden |
E29348
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Larrelt
Larrelt is a district of the German seaport city of Emden in Lower Saxony.
|
E157350
|
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: Larrelt | Statement: [Emden, hasSubdivision, Larrelt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Larrelt Context triple: [Emden, hasSubdivision, Larrelt]
-
A.
Barellan
Barellan is a small rural town in the Riverina region of New South Wales, Australia, known for its grain farming and association with tennis champion Evonne Goolagong-Cawley.
-
B.
Lorn
Lorn is a residential suburb of Maitland in the Hunter Region of New South Wales, Australia, known for its historic homes and village-like atmosphere.
-
C.
Alaior
Alaior is a historic inland town and municipality on the Spanish island of Menorca, known for its traditional architecture and local cheese production.
-
D.
Loralai
Loralai is a town and district in northern Balochistan, Pakistan, known historically as a regional administrative and trade center.
-
E.
Ledaal
Ledaal is a historic manor house in Stavanger, Norway, that has served as a royal residence and cultural landmark.
- 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: Larrelt Triple: [Emden, hasSubdivision, Larrelt]
Generated description
Larrelt is a district of the German seaport city of Emden in Lower Saxony.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Larrelt Target entity description: Larrelt is a district of the German seaport city of Emden in Lower Saxony.
-
A.
Barellan
Barellan is a small rural town in the Riverina region of New South Wales, Australia, known for its grain farming and association with tennis champion Evonne Goolagong-Cawley.
-
B.
Lorn
Lorn is a residential suburb of Maitland in the Hunter Region of New South Wales, Australia, known for its historic homes and village-like atmosphere.
-
C.
Alaior
Alaior is a historic inland town and municipality on the Spanish island of Menorca, known for its traditional architecture and local cheese production.
-
D.
Loralai
Loralai is a town and district in northern Balochistan, Pakistan, known historically as a regional administrative and trade center.
-
E.
Ledaal
Ledaal is a historic manor house in Stavanger, Norway, that has served as a royal residence and cultural landmark.
- 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_69a498d883a48190bfdca525296ef7ee |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c31b176c8190a896183140c5c8be |
completed | March 1, 2026, 10:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acd48c41f4819092f7e1302d803662 |
completed | March 8, 2026, 1:44 a.m. |
| NEDg | Description generation | batch_69acd543a0ac8190b9fd5e921b5ad9ea |
completed | March 8, 2026, 1:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69acd5b8fa2481908fd52d94e55b6377 |
completed | March 8, 2026, 1:49 a.m. |
Created at: March 1, 2026, 7:59 p.m.