Triple
T7406198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tan Malaka |
E170875
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Gerpolek |
E170875
|
NE FINISHED |
How this triple was built (2 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: Gerpolek | Statement: [Tan Malaka, notableWork, Gerpolek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gerpolek Context triple: [Tan Malaka, notableWork, Gerpolek]
-
A.
Gerpolek
chosen
Gerpolek is a political treatise by Indonesian revolutionary Tan Malaka that outlines strategies for guerrilla warfare, politics, and economics in the struggle against colonialism.
-
B.
Gouderak
Gouderak is a small village in the Dutch province of South Holland, situated along the Hollandse IJssel river.
-
C.
Nespolo
Nespolo is a small Italian municipality located in the Lazio region, known for its rural character and scenic Apennine surroundings.
-
D.
Tapolca
Tapolca is a small Hungarian town in the Transdanubian region, known for its scenic karst landscape and the famous Tapolca Lake Cave.
-
E.
Polezhan
Polezhan is one of the highest and most prominent peaks in Bulgaria’s Pirin Mountains, known for its rugged alpine terrain and panoramic views.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c68a6010108190925e5284de022660 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f275c6e481908b4ce9ff1e418296 |
completed | March 27, 2026, 9:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8111adbf48190a04df3cec1017b39 |
completed | March 28, 2026, 5:34 p.m. |
Created at: March 27, 2026, 3:10 p.m.