Triple
T1947560
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northwestern Army |
E42089
|
entity |
| Predicate | headquartersLocation |
P62
|
FINISHED |
| Object |
Narva
Narva is a historic city in northeastern Estonia on the border with Russia, known for its strategic military importance and well-preserved fortress overlooking the Narva River.
|
E218186
|
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: Narva | Statement: [Northwestern Army, headquartersLocation, Narva]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Narva Context triple: [Northwestern Army, headquartersLocation, Narva]
-
A.
Jelgava
Jelgava is a city in central Latvia known for its historic Jelgava Palace and role as a regional cultural and educational center.
-
B.
Reval
Reval is the historical German name for Tallinn, the capital city and major port of present-day Estonia on the Baltic Sea.
-
C.
Vyborg
Vyborg is a historic port city in northwestern Russia near the Finnish border, known for its medieval castle and long-contested status between Sweden, Finland, and Russia.
-
D.
Viedma
Viedma is a city in northern Patagonia and one of the oldest settlements in Argentina, serving as the capital of Río Negro Province.
-
E.
Tartu
Tartu is Estonia’s second-largest city and a historic cultural and intellectual center, best known as the country’s main university town.
- 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: Narva Triple: [Northwestern Army, headquartersLocation, Narva]
Generated description
Narva is a historic city in northeastern Estonia on the border with Russia, known for its strategic military importance and well-preserved fortress overlooking the Narva River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Narva Target entity description: Narva is a historic city in northeastern Estonia on the border with Russia, known for its strategic military importance and well-preserved fortress overlooking the Narva River.
-
A.
Jelgava
Jelgava is a city in central Latvia known for its historic Jelgava Palace and role as a regional cultural and educational center.
-
B.
Reval
Reval is the historical German name for Tallinn, the capital city and major port of present-day Estonia on the Baltic Sea.
-
C.
Vyborg
Vyborg is a historic port city in northwestern Russia near the Finnish border, known for its medieval castle and long-contested status between Sweden, Finland, and Russia.
-
D.
Viedma
Viedma is a city in northern Patagonia and one of the oldest settlements in Argentina, serving as the capital of Río Negro Province.
-
E.
Tartu
Tartu is Estonia’s second-largest city and a historic cultural and intellectual center, best known as the country’s main university town.
- 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_69a8870e08fc8190a319cbf2600db15f |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb33040c881908f42e80cbe1b1aca |
completed | March 7, 2026, 5:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adfbbf724081909b24680d483edbd1 |
completed | March 8, 2026, 10:44 p.m. |
| NEDg | Description generation | batch_69adfc6aa96c81909ae3cff6c7ab7f79 |
completed | March 8, 2026, 10:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adfcebbc808190a74f9082636bce11 |
completed | March 8, 2026, 10:49 p.m. |
Created at: March 4, 2026, 7:36 p.m.