Triple
T22043722
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Montana Territory |
E544706
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object |
Helena
Helena is the capital city of the U.S. state of Montana, known historically as a prosperous gold rush town in the 19th century.
|
E35660
|
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: Helena | Statement: [Montana Territory, capital, Helena]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Helena Context triple: [Montana Territory, capital, Helena]
-
A.
Helena
Helena is a German princess from the House of Waldeck and Pyrmont, a minor princely family historically associated with the region of Waldeck in present-day Germany.
-
B.
Helena
Helena is a novel by Brazilian writer Machado de Assis, often noted for its exploration of family secrets, social conventions, and romantic intrigue in 19th-century Rio de Janeiro.
-
C.
Helena
Helena is the middle name of Princess Eugenie of York, a member of the British royal family.
-
D.
Helena
Helena is a feminine given name of Greek origin meaning "light" or "bright one," famously borne by figures such as Helen of Troy and various saints and queens.
-
E.
Helena
Helena is the intelligent, determined heroine of Shakespeare’s comedy "All’s Well That Ends Well," known for her resourcefulness and unwavering pursuit of love.
- 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: Helena Triple: [Montana Territory, capital, Helena]
Generated description
Helena is the capital city of the U.S. state of Montana, known historically as a prosperous gold rush town in the 19th century.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Helena Target entity description: Helena is the capital city of the U.S. state of Montana, known historically as a prosperous gold rush town in the 19th century.
-
A.
Helena
chosen
Helena is the capital city of the U.S. state of Montana, known for its historic gold rush origins and scenic location in the northern Rocky Mountains.
-
B.
Helena
Helena is a feminine given name of Greek origin meaning "light" or "bright one," famously borne by figures such as Helen of Troy and various saints and queens.
-
C.
Helena
Helena is the middle name of Princess Eugenie of York, a member of the British royal family.
-
D.
Helena
Helena was a British princess, the third daughter of Queen Victoria and Prince Albert, known for her charitable work and support of nursing and women's education.
-
E.
Helena
Helena is a German princess from the House of Waldeck and Pyrmont, a minor princely family historically associated with the region of Waldeck in present-day Germany.
- F. None of above.
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_69e11e32445c8190ab97089b48a130bb |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1282ac42c819099b2f664f79f5b83 |
completed | April 28, 2026, 9:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a7b7324488190b33025d70d882f26 |
completed | May 18, 2026, 2:37 a.m. |
| NEDg | Description generation | batch_6a0a7c4736808190bd04e03adcb2d97b |
completed | May 18, 2026, 2:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a7d80f9c08190b18e04b9e9cf47a5 |
completed | May 18, 2026, 2:46 a.m. |
Created at: April 16, 2026, 8:25 p.m.