Triple
T15372829
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Võru County |
E367591
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Haanja
Haanja is a small village in southeastern Estonia known for its hilly landscape and proximity to the country’s highest point, Suur Munamägi.
|
E1152505
|
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: Haanja | Statement: [Võru County, containsSettlement, Haanja]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Haanja Context triple: [Võru County, containsSettlement, Haanja]
-
A.
Mahwa
Mahwa is a town located in the Dausa district of the Indian state of Rajasthan.
-
B.
Haeju
Haeju is a coastal city in southwestern North Korea, historically significant as a regional center and port on the Yellow Sea.
-
C.
Haimoo
Haimoo is a small village located within the municipality of Vihti in southern Finland.
-
D.
Jalu
Jalu is an oasis town in northeastern Libya known for its date palms, desert landscape, and role as a local administrative and trading center.
-
E.
Hangang
Hangang is the Korean name for the Han River, a major waterway flowing through Seoul and central to the city's landscape, history, and recreation.
- 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: Haanja Triple: [Võru County, containsSettlement, Haanja]
Generated description
Haanja is a small village in southeastern Estonia known for its hilly landscape and proximity to the country’s highest point, Suur Munamägi.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Haanja Target entity description: Haanja is a small village in southeastern Estonia known for its hilly landscape and proximity to the country’s highest point, Suur Munamägi.
-
A.
Mahwa
Mahwa is a town located in the Dausa district of the Indian state of Rajasthan.
-
B.
Haeju
Haeju is a coastal city in southwestern North Korea, historically significant as a regional center and port on the Yellow Sea.
-
C.
Haimoo
Haimoo is a small village located within the municipality of Vihti in southern Finland.
-
D.
Jalu
Jalu is an oasis town in northeastern Libya known for its date palms, desert landscape, and role as a local administrative and trading center.
-
E.
Hangang
Hangang is the Korean name for the Han River, a major waterway flowing through Seoul and central to the city's landscape, history, and recreation.
- 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_69d85a1483788190ad93c2748e8af34b |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e5c1d548190930bfaf0861595ae |
completed | April 16, 2026, 1:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff0b528f408190b66d3d6e10e90a43 |
completed | May 9, 2026, 10:24 a.m. |
| NEDg | Description generation | batch_69ff0bc7dfe48190a05c2b826c7fd35c |
completed | May 9, 2026, 10:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff0c51c6c081908943ddb409655ed6 |
completed | May 9, 2026, 10:28 a.m. |
Created at: April 10, 2026, 3:18 a.m.