Triple
T15929319
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Morang District |
E386281
|
entity |
| Predicate | hasMajorTown |
P316
|
FINISHED |
| Object |
Rangeli
Rangeli is a prominent town in southeastern Nepal that serves as an important local commercial and administrative center in Morang District.
|
E1184932
|
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: Rangeli | Statement: [Morang District, hasMajorTown, Rangeli]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rangeli Context triple: [Morang District, hasMajorTown, Rangeli]
-
A.
Larimore
Larimore is a small city in eastern North Dakota, United States, known for its rural character and proximity to Grand Forks.
-
B.
Warroad
Warroad is a small northern Minnesota city near the Canadian border, known for its strong hockey tradition and access to Lake of the Woods.
-
C.
Kolda
Kolda is a regional city in southern Senegal, known as an important administrative and commercial center in the Casamance area.
-
D.
Rindal
Rindal is a small rural municipality and village area in western Norway known for its scenic landscapes and traditional Norwegian countryside character.
-
E.
Nylund
Nylund is a Scandinavian-origin surname most widely recognized through the fictional character Rose Nylund from the television series "The Golden Girls."
- 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: Rangeli Triple: [Morang District, hasMajorTown, Rangeli]
Generated description
Rangeli is a prominent town in southeastern Nepal that serves as an important local commercial and administrative center in Morang District.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rangeli Target entity description: Rangeli is a prominent town in southeastern Nepal that serves as an important local commercial and administrative center in Morang District.
-
A.
Larimore
Larimore is a small city in eastern North Dakota, United States, known for its rural character and proximity to Grand Forks.
-
B.
Warroad
Warroad is a small northern Minnesota city near the Canadian border, known for its strong hockey tradition and access to Lake of the Woods.
-
C.
Kolda
Kolda is a regional city in southern Senegal, known as an important administrative and commercial center in the Casamance area.
-
D.
Rindal
Rindal is a small rural municipality and village area in western Norway known for its scenic landscapes and traditional Norwegian countryside character.
-
E.
Nylund
Nylund is a Scandinavian-origin surname most widely recognized through the fictional character Rose Nylund from the television series "The Golden Girls."
- 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_69d86da750008190987eb26be3f6c118 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156a39abc8190927818f6e185033a |
completed | April 16, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb5b0833081909668c042234b5b75 |
completed | May 9, 2026, 10:31 p.m. |
| NEDg | Description generation | batch_69ffb6a526188190be80658fb23cacbd |
completed | May 9, 2026, 10:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffb71cea948190a1c5998654aee8d5 |
completed | May 9, 2026, 10:37 p.m. |
Created at: April 10, 2026, 4:52 a.m.