Triple
T6305189
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ummanz |
E141357
|
entity |
| Predicate | hasVillage |
P4011
|
FINISHED |
| Object |
Tankow
Tankow is a small village on the island of Ummanz in the German state of Mecklenburg-Vorpommern.
|
E584881
|
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: Tankow | Statement: [Ummanz, hasVillage, Tankow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tankow Context triple: [Ummanz, hasVillage, Tankow]
-
A.
Petawawa
Petawawa is a town in eastern Ontario, Canada, known for its large Canadian Forces base and proximity to the Ottawa River and Algonquin Provincial Park.
-
B.
The Turim
The Turim is a foundational 14th-century Jewish legal code by Rabbi Jacob ben Asher that systematically organizes halakhic rulings into four major sections.
-
C.
Oka
Oka is a small municipality in southwestern Quebec, Canada, known for its historic village, Oka National Park, and the famous Oka cheese produced by Trappist monks.
-
D.
Tsalka
Tsalka is a town in southern Georgia known for its ethnically diverse population and its location near the Tsalka Reservoir in the Kvemo Kartli region.
-
E.
Toma
Toma is a major Mande language spoken primarily in Guinea and neighboring West African countries.
- 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: Tankow Triple: [Ummanz, hasVillage, Tankow]
Generated description
Tankow is a small village on the island of Ummanz in the German state of Mecklenburg-Vorpommern.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tankow Target entity description: Tankow is a small village on the island of Ummanz in the German state of Mecklenburg-Vorpommern.
-
A.
Petawawa
Petawawa is a town in eastern Ontario, Canada, known for its large Canadian Forces base and proximity to the Ottawa River and Algonquin Provincial Park.
-
B.
The Turim
The Turim is a foundational 14th-century Jewish legal code by Rabbi Jacob ben Asher that systematically organizes halakhic rulings into four major sections.
-
C.
Oka
Oka is a small municipality in southwestern Quebec, Canada, known for its historic village, Oka National Park, and the famous Oka cheese produced by Trappist monks.
-
D.
Tsalka
Tsalka is a town in southern Georgia known for its ethnically diverse population and its location near the Tsalka Reservoir in the Kvemo Kartli region.
-
E.
Toma
Toma is a major Mande language spoken primarily in Guinea and neighboring West African countries.
- 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_69c008cf0ad4819095def81e2bd42f9f |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06479acec819090306a155a03b774 |
completed | March 22, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c5e44527488190b3d605e917c8dfb2 |
completed | March 27, 2026, 1:58 a.m. |
| NEDg | Description generation | batch_69c5f3f6d134819090d44dea3ae88ee2 |
completed | March 27, 2026, 3:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c5f4a30e2c81908cd5a99d6fc6063b |
completed | March 27, 2026, 3:08 a.m. |
Created at: March 22, 2026, 4:28 p.m.