Triple
T14404077
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Time Lady |
E357151
|
entity |
| Predicate | travelMedium |
P100062
|
FINISHED |
| Object | time vortex |
—
|
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: time vortex | Statement: [Time Lady, travelMedium, time vortex]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: travelMedium Context triple: [Time Lady, travelMedium, time vortex]
-
A.
travelsOn
Indicates that an entity moves or journeys using a particular route, path, or mode of transportation.
-
B.
travelMechanic
chosen
Indicates the method or system by which movement or travel between locations is carried out.
-
C.
coTraveler
Indicates that two or more entities are traveling together along (part of) the same journey or route.
-
D.
traveledAs
Indicates that an entity moved from one place to another in the role, capacity, or identity specified by another entity (e.g., as a tourist, as a representative, as a refugee).
-
E.
travelers
Indicates that one or more entities are engaged in the activity or role of traveling, typically moving from one place to another.
- 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_69d82793421c8190861eb0e673b085de |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de90860ae481908e175decda8624d5 |
completed | April 14, 2026, 7:07 p.m. |
| PD | Predicate disambiguation | batch_69de2aa024c48190805df6a9d63deb10 |
completed | April 14, 2026, 11:53 a.m. |
Created at: April 10, 2026, 1:17 a.m.