Triple
T5984830
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moon Jae-in |
E133201
|
entity |
| Predicate | birthPlace |
P1
|
FINISHED |
| Object | Geoje |
E356381
|
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: Geoje | Statement: [Moon Jae-in, birthPlace, Geoje]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Geoje Context triple: [Moon Jae-in, birthPlace, Geoje]
-
A.
Geoje
chosen
Geoje is a South Korean island city in South Gyeongsang Province known for its major shipbuilding industry and coastal scenery.
-
B.
Wallmapu
Wallmapu is the ancestral homeland of the Mapuche people, encompassing their traditional territories across parts of present-day Chile and Argentina.
-
C.
Mapah
Mapah is Rabbi Moses Isserles’s glosses on the Shulchan Aruch, integrating Ashkenazi customs and rulings into that foundational Jewish legal code.
-
D.
Geographia
Geographia is an influential ancient geographical treatise by Claudius Ptolemy that systematically mapped the known world and shaped cartography for centuries.
-
E.
Estyn
Estyn is the education and training inspectorate for Wales, responsible for evaluating the quality and standards of schools, colleges, and other learning providers.
- 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_69c0087010d081908bb8142342d63330 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04a6dcaf08190bac27c7042e65e07 |
completed | March 22, 2026, 8 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0e42a0fcc8190ab8d7f797b58a8e0 |
completed | March 23, 2026, 6:56 a.m. |
Created at: March 22, 2026, 4:04 p.m.