Triple
T15647594
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Syangja District |
E376220
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Galyang
Galyang is a town in Nepal that serves as one of the local urban centers within Syangja District in the Gandaki Province.
|
E1169395
|
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: Galyang | Statement: [Syangja District, containsSettlement, Galyang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Galyang Context triple: [Syangja District, containsSettlement, Galyang]
-
A.
Kalaong
Kalaong is a barangay (village-level administrative division) of the municipality of Maitum in the province of Sarangani, Philippines.
-
B.
Taongi
Taongi is a remote, uninhabited coral atoll in the Marshall Islands known for its rich marine biodiversity and relatively undisturbed natural environment.
-
C.
Mangilao
Mangilao is a village on the eastern side of Guam known for hosting the University of Guam and Guam Community College.
-
D.
Kapyong
Kapyong is a Korean War battlefield in South Korea renowned for a pivotal 1951 engagement in which outnumbered UN forces, including Canadian troops, halted a major Chinese offensive.
-
E.
Guanito
Guanito is a rural municipal district within the San Juan de la Maguana municipality in the San Juan Province of the Dominican Republic.
- 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: Galyang Triple: [Syangja District, containsSettlement, Galyang]
Generated description
Galyang is a town in Nepal that serves as one of the local urban centers within Syangja District in the Gandaki Province.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Galyang Target entity description: Galyang is a town in Nepal that serves as one of the local urban centers within Syangja District in the Gandaki Province.
-
A.
Kalaong
Kalaong is a barangay (village-level administrative division) of the municipality of Maitum in the province of Sarangani, Philippines.
-
B.
Taongi
Taongi is a remote, uninhabited coral atoll in the Marshall Islands known for its rich marine biodiversity and relatively undisturbed natural environment.
-
C.
Mangilao
Mangilao is a village on the eastern side of Guam known for hosting the University of Guam and Guam Community College.
-
D.
Kapyong
Kapyong is a Korean War battlefield in South Korea renowned for a pivotal 1951 engagement in which outnumbered UN forces, including Canadian troops, halted a major Chinese offensive.
-
E.
Guanito
Guanito is a rural municipal district within the San Juan de la Maguana municipality in the San Juan Province of the Dominican Republic.
- 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_69d85cd1564c8190991adda63bfab4b0 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04ed5b8b081908d7127964eed3b09 |
completed | April 16, 2026, 2:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff67936e388190913c9060194e5b53 |
completed | May 9, 2026, 4:57 p.m. |
| NEDg | Description generation | batch_69ff6883b5048190b64e4361bc89dd80 |
completed | May 9, 2026, 5:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff6911a76c819088c8a86d2106b6c6 |
completed | May 9, 2026, 5:04 p.m. |
Created at: April 10, 2026, 4:15 a.m.