Triple
T8730723
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2010 Mentawai earthquake and tsunami |
E207246
|
entity |
| Predicate | notableVillageAffected |
P55202
|
FINISHED |
| Object |
Bulakmonga
Bulakmonga is a coastal village in Indonesia’s Mentawai Islands that was heavily impacted by the devastating 2010 Mentawai earthquake and tsunami.
|
E754370
|
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: Bulakmonga | Statement: [2010 Mentawai earthquake and tsunami, notableVillageAffected, Bulakmonga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bulakmonga Context triple: [2010 Mentawai earthquake and tsunami, notableVillageAffected, Bulakmonga]
-
A.
Khoni
Khoni is a small town in western Georgia’s Imereti region, known for its historical churches and surrounding natural landscapes.
-
B.
Boghni
Boghni is a town and commune in northern Algeria’s Kabylie region, known for its Berber (Amazigh) cultural heritage and mountainous surroundings.
-
C.
Gyaur Kala
Gyaur Kala is an ancient walled fortress and archaeological site within the historic oasis-city complex of Merv in present-day Turkmenistan.
-
D.
Mugatu
Mugatu is the flamboyant, villainous fashion designer portrayed by Will Ferrell in the comedy film "Zoolander."
-
E.
Bogoso
Bogoso is a mining town in southwestern Ghana known for its significant gold deposits and related industrial activities.
- 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: Bulakmonga Triple: [2010 Mentawai earthquake and tsunami, notableVillageAffected, Bulakmonga]
Generated description
Bulakmonga is a coastal village in Indonesia’s Mentawai Islands that was heavily impacted by the devastating 2010 Mentawai earthquake and tsunami.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bulakmonga Target entity description: Bulakmonga is a coastal village in Indonesia’s Mentawai Islands that was heavily impacted by the devastating 2010 Mentawai earthquake and tsunami.
-
A.
Khoni
Khoni is a small town in western Georgia’s Imereti region, known for its historical churches and surrounding natural landscapes.
-
B.
Boghni
Boghni is a town and commune in northern Algeria’s Kabylie region, known for its Berber (Amazigh) cultural heritage and mountainous surroundings.
-
C.
Gyaur Kala
Gyaur Kala is an ancient walled fortress and archaeological site within the historic oasis-city complex of Merv in present-day Turkmenistan.
-
D.
Mugatu
Mugatu is the flamboyant, villainous fashion designer portrayed by Will Ferrell in the comedy film "Zoolander."
-
E.
Bogoso
Bogoso is a mining town in southwestern Ghana known for its significant gold deposits and related industrial activities.
- 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_69ca8358e4008190898471a59b96c301 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5d26d280819085e15d4917c2b9a5 |
completed | March 31, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf42b0f5808190863a1ca3c4e9c8d1 |
completed | April 3, 2026, 4:31 a.m. |
| NEDg | Description generation | batch_69cf43bd0f8c8190be2f7dc86f1e76e1 |
completed | April 3, 2026, 4:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cf444c9cb08190a37f34faa4a3458d |
completed | April 3, 2026, 4:38 a.m. |
Created at: March 30, 2026, 6:37 p.m.