Triple
T17017395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Princess Shams al-Nahar |
E412857
|
entity |
| Predicate | originCollectionRegion |
P100363
|
FINISHED |
| Object | Middle Eastern literature |
—
|
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: Middle Eastern literature | Statement: [Princess Shams al-Nahar, originCollectionRegion, Middle Eastern literature]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originCollectionRegion Context triple: [Princess Shams al-Nahar, originCollectionRegion, Middle Eastern literature]
-
A.
originSubregion
Indicates the specific subregional area from which an entity originates or is derived.
-
B.
regionFrom
chosen
Indicates that something originates from, is derived from, or is associated with a particular geographic or administrative region.
-
C.
sourceRegion
Indicates the geographic or spatial region from which something originates or is derived.
-
D.
coreRegionOf
Indicates that one entity constitutes the central or most essential part of another entity’s structure, area, or domain.
-
E.
occupiedRegion
Indicates that an entity has taken control of and is currently holding a specific geographic area or region.
- 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_69d886cc4170819093deddc7b8b4b6a7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d480a58c8190a3912d26debb4311 |
completed | April 18, 2026, 6:59 p.m. |
| PD | Predicate disambiguation | batch_69e35d5be7f48190af9db67a1e23850f |
completed | April 18, 2026, 10:30 a.m. |
Created at: April 10, 2026, 5:33 a.m.