Triple
T9836289
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | At-Turaif District |
E239108
|
entity |
| Predicate | restorationWorkStart |
P27441
|
FINISHED |
| Object | early 21st century |
—
|
LITERAL 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: early 21st century | Statement: [At-Turaif District, restorationWorkStart, early 21st century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: restorationWorkStart Context triple: [At-Turaif District, restorationWorkStart, early 21st century]
-
A.
renovationStart
chosen
Indicates the date or point in time when a renovation process begins.
-
B.
restorationProject
Indicates a project whose purpose is to repair, renew, or return something to a previous or improved condition.
-
C.
collaborationStartWork
Indicates the point in time when a collaborative effort between entities begins or is initiated.
-
D.
monumentConstructionStart
Indicates the date or time when the construction of a monument was begun.
-
E.
restorationEvent
Indicates an event in which something previously altered, damaged, or degraded is returned to a former or improved state.
- 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_69ca84e314108190978324a4bdb959f8 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb33b07688190b78a70cf535c3efc |
completed | April 2, 2026, 12:07 a.m. |
| PD | Predicate disambiguation | batch_69cd03e30bc08190816c0a6d29c21b0f |
completed | April 1, 2026, 11:39 a.m. |
Created at: March 30, 2026, 8:33 p.m.