Triple
T24076612
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gimhae Kim clan |
E596379
|
entity |
| Predicate | bonGwan |
P154761
|
FINISHED |
| Object | Gimhae |
—
|
NE NERFINISHED |
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: Gimhae | Statement: [Gimhae Kim clan, bonGwan, Gimhae]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bonGwan Context triple: [Gimhae Kim clan, bonGwan, Gimhae]
-
A.
BOIC
Indicates a relationship where one entity is the beneficiary or intended recipient of an item, action, or outcome provided or directed by another entity.
-
B.
sungIn
Indicates that something (such as a song, lyric, or performance) is performed vocally using a particular language, style, or vocal context.
-
C.
Xiaoerjing
Indicates a relationship where something is written, represented, or transcribed using the Xiaoerjing (Arabic-based) script for Sinitic languages.
-
D.
boonDetails
Indicates the specific terms, conditions, or characteristics associated with a granted benefit or favor within the relationship or action.
-
E.
banhadaPelo
Indicates that one entity is bathed or washed by another entity.
- F. None of above. chosen
Provenance (4 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_69e288c3999c8190809b282a04813dec |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1db1e959c81909f4365b5d7f934d9 |
completed | April 29, 2026, 10:19 a.m. |
| PD | Predicate disambiguation | batch_69f1764b1d4c8190b12590c6339c31c1 |
completed | April 29, 2026, 3:08 a.m. |
| PDg | Predicate description generation | batch_69f1785afe3c81909be28986ffe944bf |
completed | April 29, 2026, 3:17 a.m. |
Created at: April 17, 2026, 10:42 p.m.