Triple
T391084
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Philortyx |
E8881
|
entity |
| Predicate | nativeTo |
P410
|
FINISHED |
| Object | New World |
E32380
|
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: New World | Statement: [Philortyx, nativeTo, New World]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: New World Context triple: [Philortyx, nativeTo, New World]
-
A.
New World
chosen
The New World refers to the Western Hemisphere, especially the Americas, as distinguished from the Old World of Europe, Asia, and Africa.
-
B.
Four Worlds
Four Worlds is a central Kabbalistic framework that describes a hierarchical sequence of spiritual realms through which divine energy progressively manifests into the physical universe.
-
C.
Skull and Bones
Skull and Bones is a secretive and influential Yale University society known for its powerful and well-connected members in American political, media, and business circles.
-
D.
Kalorama
Kalorama is an affluent, historic residential neighborhood in Northwest Washington, D.C., known for its embassies, stately mansions, and prominent political residents.
-
E.
Populous
Populous is a global architecture and design firm renowned for creating major sports stadiums, arenas, and large-scale event venues.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a2e7f55c60819097aff65ea2ca2832 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ec5d73e881909101308a583c8f13 |
completed | Feb. 28, 2026, 1:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a405f74cd08190a2e165506638607c |
completed | March 1, 2026, 9:25 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.