Triple
T16986188
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Miguel Department |
E412070
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Comacarán
Comacarán is a small municipality and town located in eastern El Salvador.
|
E1244327
|
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: Comacarán | Statement: [San Miguel Department, contains, Comacarán]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Comacarán Context triple: [San Miguel Department, contains, Comacarán]
-
A.
Lumban
Lumban is a municipality in the Philippine province of Laguna known for its traditional hand-embroidered textiles and scenic lakeside setting along Laguna de Bay.
-
B.
Bolango-Bulango
Bolango-Bulango is an Austronesian language spoken by the Bolango people in northern Sulawesi, Indonesia.
-
C.
Pangcah
Pangcah is the self-designation of the Amis, one of the largest Indigenous Austronesian peoples of Taiwan, known for their distinct language and rich cultural traditions.
-
D.
Palimbang
Palimbang is a coastal municipality in the province of Sultan Kudarat in the Philippines, known for its fishing communities and Moro cultural heritage.
-
E.
Kainan
Kainan is a coastal city in central Wakayama Prefecture, Japan, known for its traditional industries and scenic seaside setting.
- 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: Comacarán Triple: [San Miguel Department, contains, Comacarán]
Generated description
Comacarán is a small municipality and town located in eastern El Salvador.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Comacarán Target entity description: Comacarán is a small municipality and town located in eastern El Salvador.
-
A.
Lumban
Lumban is a municipality in the Philippine province of Laguna known for its traditional hand-embroidered textiles and scenic lakeside setting along Laguna de Bay.
-
B.
Bolango-Bulango
Bolango-Bulango is an Austronesian language spoken by the Bolango people in northern Sulawesi, Indonesia.
-
C.
Pangcah
Pangcah is the self-designation of the Amis, one of the largest Indigenous Austronesian peoples of Taiwan, known for their distinct language and rich cultural traditions.
-
D.
Palimbang
Palimbang is a coastal municipality in the province of Sultan Kudarat in the Philippines, known for its fishing communities and Moro cultural heritage.
-
E.
Kainan
Kainan is a coastal city in central Wakayama Prefecture, Japan, known for its traditional industries and scenic seaside setting.
- 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_69d886ca8f348190812768ea8d5055ce |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d27b58908190a643bcbd105b1849 |
completed | April 18, 2026, 6:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00dc1109a081908890bbd5958c76c2 |
completed | May 10, 2026, 7:27 p.m. |
| NEDg | Description generation | batch_6a0114d5aeb0819086f1a5d279ac0d0f |
completed | May 10, 2026, 11:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0115c583608190bf07ac205399f253 |
completed | May 10, 2026, 11:33 p.m. |
Created at: April 10, 2026, 5:32 a.m.