Triple
T22860849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moldavia |
E566917
|
entity |
| Predicate | hasCapital |
P204
|
FINISHED |
| Object |
Hotin
Hotin is a historic town and former fortress city on the Dniester River, known for its strategic importance in Eastern European conflicts and its well-preserved medieval citadel.
|
E1558714
|
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: Hotin | Statement: [Moldavia, hasCapital, Hotin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hotin Context triple: [Moldavia, hasCapital, Hotin]
-
A.
Hitz
Hitz is the middle name of Harold H. Burton, an American politician and Associate Justice of the U.S. Supreme Court.
-
B.
Heatley
Heatley is a surname most prominently associated with former NHL star forward Dany Heatley, known for his prolific goal-scoring career.
-
C.
Hoton
Hoton is a small rural village in Leicestershire, England, known for its traditional countryside setting and proximity to the town of Loughborough.
-
D.
Hitzig
Hitzig is a German surname most notably associated with 19th-century figures such as architect Friedrich Hitzig.
-
E.
Warme
Warme is a small river in the German state of Hesse that serves as a tributary of the Diemel.
- 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: Hotin Triple: [Moldavia, hasCapital, Hotin]
Generated description
Hotin is a historic town and former fortress city on the Dniester River, known for its strategic importance in Eastern European conflicts and its well-preserved medieval citadel.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hotin Target entity description: Hotin is a historic town and former fortress city on the Dniester River, known for its strategic importance in Eastern European conflicts and its well-preserved medieval citadel.
-
A.
Hitz
Hitz is the middle name of Harold H. Burton, an American politician and Associate Justice of the U.S. Supreme Court.
-
B.
Heatley
Heatley is a surname most prominently associated with former NHL star forward Dany Heatley, known for his prolific goal-scoring career.
-
C.
Hoton
Hoton is a small rural village in Leicestershire, England, known for its traditional countryside setting and proximity to the town of Loughborough.
-
D.
Hitzig
Hitzig is a German surname most notably associated with 19th-century figures such as architect Friedrich Hitzig.
-
E.
Warme
Warme is a small river in the German state of Hesse that serves as a tributary of the Diemel.
- 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_69e24589083081908d5694c4fdc80086 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17efcc1308190a95d10e431295ca2 |
completed | April 29, 2026, 3:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0bae8d7814819090b529ce8d612e44 |
completed | May 19, 2026, 12:27 a.m. |
| NEDg | Description generation | batch_6a0baf96f71c8190b1c0ee09d1fbde19 |
completed | May 19, 2026, 12:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0bb0d8a2f0819084161d3a09cfa1ae |
completed | May 19, 2026, 12:37 a.m. |
Created at: April 17, 2026, 3:37 p.m.