Triple
T1063463
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Tambora |
E22956
|
entity |
| Predicate | nearbySettlementDestroyed |
P23014
|
FINISHED |
| Object |
Pekat
Pekat is a settlement on the Indonesian island of Sumbawa that was devastated by the catastrophic 1815 eruption of Mount Tambora.
|
E122019
|
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: Pekat | Statement: [Mount Tambora, nearbySettlementDestroyed, Pekat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pekat Context triple: [Mount Tambora, nearbySettlementDestroyed, Pekat]
-
A.
Pekar
Pekar is a surname of Central or Eastern European origin, notably associated with several cultural and artistic figures.
-
B.
Peperga
Peperga is a small village in the Netherlands best known as the birthplace of Dutch colonial governor Peter Stuyvesant.
-
C.
Penge
Penge is a suburban district in southeast London known for its Victorian architecture and proximity to Crystal Palace.
-
D.
Watugaluh
Watugaluh was an important historical city in Java that served as the political and administrative center of the Medang Kingdom.
-
E.
Potohari
Potohari is an Indo-Aryan language variety spoken in the Potohar Plateau region of northern Pakistan, including areas around Islamabad and Rawalpindi.
- 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: Pekat Triple: [Mount Tambora, nearbySettlementDestroyed, Pekat]
Generated description
Pekat is a settlement on the Indonesian island of Sumbawa that was devastated by the catastrophic 1815 eruption of Mount Tambora.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pekat Target entity description: Pekat is a settlement on the Indonesian island of Sumbawa that was devastated by the catastrophic 1815 eruption of Mount Tambora.
-
A.
Pekar
Pekar is a surname of Central or Eastern European origin, notably associated with several cultural and artistic figures.
-
B.
Peperga
Peperga is a small village in the Netherlands best known as the birthplace of Dutch colonial governor Peter Stuyvesant.
-
C.
Penge
Penge is a suburban district in southeast London known for its Victorian architecture and proximity to Crystal Palace.
-
D.
Watugaluh
Watugaluh was an important historical city in Java that served as the political and administrative center of the Medang Kingdom.
-
E.
Potohari
Potohari is an Indo-Aryan language variety spoken in the Potohar Plateau region of northern Pakistan, including areas around Islamabad and Rawalpindi.
- 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_69a493dada0481909c43649f9843ea91 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4bb7320f88190a8428946541df157 |
completed | March 1, 2026, 10:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac3bd553a08190a2014711bd1146bf |
completed | March 7, 2026, 2:53 p.m. |
| NEDg | Description generation | batch_69ac3dd441fc8190ad462aa07e9c8c9b |
completed | March 7, 2026, 3:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac3e4747908190a878ac70bd81f5fc |
completed | March 7, 2026, 3:03 p.m. |
Created at: March 1, 2026, 7:42 p.m.