Triple
T17036753
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ken Angrok |
E413339
|
entity |
| Predicate | residence |
P75
|
FINISHED |
| Object |
Tumapel
Tumapel was an early Javanese polity and settlement in East Java, historically associated with Ken Angrok and the rise of the Singhasari kingdom.
|
E1245979
|
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: Tumapel | Statement: [Ken Angrok, residence, Tumapel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tumapel Context triple: [Ken Angrok, residence, Tumapel]
-
A.
Tamasopo
Tamasopo is a small town in the Huasteca Potosina region of San Luis Potosí, Mexico, known for its lush landscapes and popular nearby waterfalls and natural swimming areas.
-
B.
Tumeremo
Tumeremo is a mining town in southeastern Venezuela known for its gold deposits and location within Bolívar State.
-
C.
Takudh
Takudh is an alternative name for the Gwich’in language, an Athabaskan language spoken by the Gwich’in people of northwestern Canada and northeastern Alaska.
-
D.
Teguima
Teguima is a dialect of the Opata language historically spoken by an Indigenous group in what is now northern Mexico.
-
E.
Tupuri
The Tupuri are an ethnic group of Central Africa, primarily living in northern Cameroon and southwestern Chad, known for their distinct language and agrarian lifestyle.
- 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: Tumapel Triple: [Ken Angrok, residence, Tumapel]
Generated description
Tumapel was an early Javanese polity and settlement in East Java, historically associated with Ken Angrok and the rise of the Singhasari kingdom.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tumapel Target entity description: Tumapel was an early Javanese polity and settlement in East Java, historically associated with Ken Angrok and the rise of the Singhasari kingdom.
-
A.
Tamasopo
Tamasopo is a small town in the Huasteca Potosina region of San Luis Potosí, Mexico, known for its lush landscapes and popular nearby waterfalls and natural swimming areas.
-
B.
Tumeremo
Tumeremo is a mining town in southeastern Venezuela known for its gold deposits and location within Bolívar State.
-
C.
Takudh
Takudh is an alternative name for the Gwich’in language, an Athabaskan language spoken by the Gwich’in people of northwestern Canada and northeastern Alaska.
-
D.
Teguima
Teguima is a dialect of the Opata language historically spoken by an Indigenous group in what is now northern Mexico.
-
E.
Tupuri
The Tupuri are an ethnic group of Central Africa, primarily living in northern Cameroon and southwestern Chad, known for their distinct language and agrarian lifestyle.
- 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_69d886cd18288190b006abab23f811b7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d8f26f50819085dfd0fbecd6394d |
completed | April 18, 2026, 7:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a011b5b71f48190b6c865d57668b5d1 |
completed | May 10, 2026, 11:57 p.m. |
| NEDg | Description generation | batch_6a011c2203f0819091a5b4aa7c339585 |
completed | May 11, 2026, midnight |
| NED2 | Entity disambiguation (via description) | batch_6a011cc70cb08190b53b6a7402139f93 |
completed | May 11, 2026, 12:03 a.m. |
Created at: April 10, 2026, 5:33 a.m.