Triple
T7629651
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uisang |
E172726
|
entity |
| Predicate | placeOfActivity |
P1527
|
FINISHED |
| Object | Silla |
E113434
|
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: Silla | Statement: [Uisang, placeOfActivity, Silla]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Silla Context triple: [Uisang, placeOfActivity, Silla]
-
A.
Silla
chosen
Silla was an ancient Korean kingdom that unified most of the Korean Peninsula in the 7th century and played a central role in the development of early Korean culture, Buddhism, and statehood.
-
B.
Gofa
Gofa is an Omotic language spoken primarily by the Gofa people in southwestern Ethiopia.
-
C.
Seisia
Seisia is a small coastal community in far northern Queensland, Australia, known as a key Torres Strait transport and fishing hub near the tip of Cape York Peninsula.
-
D.
Chichele Chair
The Chichele Chair is a prestigious endowed professorship at the University of Oxford, historically associated with leading scholars in fields such as social and political theory.
-
E.
Sieda
Sieda is the surname of Abdulbaset Sieda, a Syrian-Kurdish academic and opposition political figure.
- 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_69c699517e348190bd3348b6889200f2 |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6fa84adb08190885138fc9b908ebf |
completed | March 27, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c870b3984c8190b16a49415556a27d |
completed | March 29, 2026, 12:22 a.m. |
Created at: March 27, 2026, 3:56 p.m.