Triple
T31687644
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saleh: A Prince of Malaya |
E808703
|
entity |
| Predicate | regionOfLiterarySignificance |
P46498
|
FINISHED |
| Object | Southeast Asia |
—
|
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: Southeast Asia | Statement: [Saleh: A Prince of Malaya, regionOfLiterarySignificance, Southeast Asia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionOfLiterarySignificance Context triple: [Saleh: A Prince of Malaya, regionOfLiterarySignificance, Southeast Asia]
-
A.
literaryLanguageRegion
Indicates the region or geographic area where a particular literary language is or was predominantly used.
-
B.
hasLiterarySignificance
Indicates that something holds notable importance, influence, or value within the realm of literature or literary studies.
-
C.
traditionalPlaceOfWriting
Indicates the customary or historically typical location where a particular text, document, or type of writing is produced or composed.
-
D.
literaryWorkSetInRegion
chosen
Indicates that a literary work’s narrative or events primarily take place within a specified geographic region.
-
E.
literaryCenter
Indicates that a location functions as a primary hub or focal point for literary activity, such as writing, publishing, or literary culture.
- F. None of above.
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_69f348ddcbc48190950cabcc25ff29b3 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fe9b0276d48190b554fa22b043e6d8 |
completed | May 9, 2026, 2:25 a.m. |
| PD | Predicate disambiguation | batch_69fe999692b081909921e1148d66f0ef |
completed | May 9, 2026, 2:19 a.m. |
Created at: April 30, 2026, 11:07 p.m.