Triple
T35510613
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Megaton |
E1026275
|
entity |
| Predicate | regionInRealWorldAnalogy |
P17515
|
FINISHED |
| Object | Washington D.C. area |
—
|
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: Washington D.C. area | Statement: [Megaton, regionInRealWorldAnalogy, Washington D.C. area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionInRealWorldAnalogy Context triple: [Megaton, regionInRealWorldAnalogy, Washington D.C. area]
-
A.
geographicalMetaphor
Indicates a figurative relationship where spatial or geographic terms are used metaphorically to describe non-spatial concepts or relationships.
-
B.
portrayedByRealWorldLocation
Indicates that a fictional or represented location is depicted or substituted by an actual real-world location.
-
C.
geographicalReality
Indicates that something pertains to, reflects, or is constrained by actual physical geography or spatial conditions in the real world.
-
D.
relatedToRealWorldConcept
Indicates that something has a direct connection, correspondence, or relevance to a concept that exists or is recognized in the real world.
-
E.
basedOnRealRegion
chosen
Indicates that something is derived from, inspired by, or corresponds to an actual geographic or administrative region in the real world.
- 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_69f76dfd61208190b93ec6dc439cab41 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69ffc704e1e88190884928a6a5c55a87 |
completed | May 9, 2026, 11:45 p.m. |
| PD | Predicate disambiguation | batch_69ffc6b483d881908ad872e25fa6abc5 |
completed | May 9, 2026, 11:43 p.m. |
Created at: May 3, 2026, 4:04 p.m.