Triple
T7788020
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sutan Sjahrir |
E187296
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Sutan |
E170865
|
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: Sutan | Statement: [Sutan Sjahrir, givenName, Sutan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sutan Context triple: [Sutan Sjahrir, givenName, Sutan]
-
A.
Sutan
chosen
Sutan is the given name of Sutan Sjahrir, an influential Indonesian nationalist leader and the country’s first prime minister.
-
B.
Sangan
Sangan is a town located in Pakistan’s Balochistan province within the Sibi District.
-
C.
Sudisman
Sudisman was a prominent Indonesian communist politician who served as one of the key leaders of the Indonesian Communist Party (PKI) during its final years before the 1965–66 anti-communist purges.
-
D.
Sawata
Sawata was a former town in Niigata Prefecture, Japan, that later became part of the city of Sado through municipal merger.
-
E.
Umrangso
Umrangso is an industrial and commercial town in Assam, India, known for its cement factories and hydroelectric power projects.
- 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_69ca82af2d2c8190963861f5e0b8bf21 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cae7e779ec8190b77296d9c2ac3210 |
completed | March 30, 2026, 9:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69caf61f77808190a5a1814fe1cb7ae1 |
completed | March 30, 2026, 10:15 p.m. |
Created at: March 30, 2026, 4:24 p.m.