Triple
T20044295
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kiili Parish |
E497512
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Tuhala
Tuhala is a small village in northern Estonia known for its karst landscapes and the famous Tuhala Witch’s Well, which periodically overflows in a striking natural phenomenon.
|
E1408453
|
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: Tuhala | Statement: [Kiili Parish, hasSettlement, Tuhala]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tuhala Context triple: [Kiili Parish, hasSettlement, Tuhala]
-
A.
Tahkuna
Tahkuna is a coastal settlement in northern Estonia, located on Hiiumaa Island and known for its proximity to the historic Tahkuna Lighthouse.
-
B.
Takudh
Takudh is an alternative name for the Gwich’in language, an Athabaskan language spoken by the Gwich’in people of northwestern Canada and northeastern Alaska.
-
C.
Tuluni
Tuluni is a major traditional harvest festival celebrated by the Sumi Naga community of Nagaland, India, marked by feasting, folk songs, and communal rituals of thanksgiving.
-
D.
Tiba
Tiba is a modern planned city in Egypt’s Luxor Governorate, developed to accommodate population growth and support regional economic and urban expansion.
-
E.
Tajuan
Tajuan is the given first name of former NFL cornerback Ty Law.
- 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: Tuhala Triple: [Kiili Parish, hasSettlement, Tuhala]
Generated description
Tuhala is a small village in northern Estonia known for its karst landscapes and the famous Tuhala Witch’s Well, which periodically overflows in a striking natural phenomenon.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tuhala Target entity description: Tuhala is a small village in northern Estonia known for its karst landscapes and the famous Tuhala Witch’s Well, which periodically overflows in a striking natural phenomenon.
-
A.
Tahkuna
Tahkuna is a coastal settlement in northern Estonia, located on Hiiumaa Island and known for its proximity to the historic Tahkuna Lighthouse.
-
B.
Takudh
Takudh is an alternative name for the Gwich’in language, an Athabaskan language spoken by the Gwich’in people of northwestern Canada and northeastern Alaska.
-
C.
Tuluni
Tuluni is a major traditional harvest festival celebrated by the Sumi Naga community of Nagaland, India, marked by feasting, folk songs, and communal rituals of thanksgiving.
-
D.
Tiba
Tiba is a modern planned city in Egypt’s Luxor Governorate, developed to accommodate population growth and support regional economic and urban expansion.
-
E.
Tajuan
Tajuan is the given first name of former NFL cornerback Ty Law.
- 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_69da627278c88190babe4297a9df1236 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e662eea09481908d1001165e9d719c |
completed | April 20, 2026, 5:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0816015e4c8190a65c4713ee9823a6 |
completed | May 16, 2026, 7 a.m. |
| NEDg | Description generation | batch_6a0816c0375c8190b940f3d0d6391b4c |
completed | May 16, 2026, 7:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08179df70c81908ea5bc596a8ba756 |
completed | May 16, 2026, 7:07 a.m. |
Created at: April 11, 2026, 3:37 p.m.