Triple
T33092800
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nicephorium |
E846825
|
entity |
| Predicate | locatedInPresentDayMacroRegion |
P204251
|
FINISHED |
| Object | Middle East |
E2715
|
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: Middle East | Statement: [Nicephorium, locatedInPresentDayMacroRegion, Middle East]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedInPresentDayMacroRegion Context triple: [Nicephorium, locatedInPresentDayMacroRegion, Middle East]
-
A.
locatedInMetaregion
Indicates that one entity is geographically or administratively situated within a larger metaregion.
-
B.
locatedInTraditionalRegion
Indicates that an entity is situated within a specific traditional or historically recognized region.
-
C.
locatedInModernAdministrativeRegion
Indicates that an entity is geographically situated within the boundaries of a current, officially recognized administrative region.
-
D.
belongsToEconomicMacroregion
Indicates that one economic region or area is part of, or classified within, a larger economic macroregion.
-
E.
locatedInNationCapitalRegion
Indicates that an entity is situated within the capital region of a specific nation.
- F. None of above. chosen
Provenance (5 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_69f3495590dc8190aa04f3dec74ce976 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a0357f9670081908a7ba1cd46a0b46a |
completed | May 12, 2026, 4:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a351602c9548190986ff0623a448d55 |
completed | June 19, 2026, 10:12 a.m. |
| PD | Predicate disambiguation | batch_6a03575e3258819093303248d1569f95 |
completed | May 12, 2026, 4:37 p.m. |
| PDg | Predicate description generation | batch_6a0357f8aa988190bc30088e509e317d |
completed | May 12, 2026, 4:40 p.m. |
Created at: May 1, 2026, 1:26 a.m.