Triple
T36393821
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deadly Desert of Oz |
E896405
|
entity |
| Predicate | travelMethodThatCanCross |
P111450
|
FINISHED |
| Object | magic carpet |
—
|
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: magic carpet | Statement: [Deadly Desert of Oz, travelMethodThatCanCross, magic carpet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: travelMethodThatCanCross Context triple: [Deadly Desert of Oz, travelMethodThatCanCross, magic carpet]
-
A.
allowsTravelAcross
chosen
Indicates that one entity enables or permits movement or passage from one side or location to another across a separating space or boundary.
-
B.
hasMethodOfCrossing
Indicates that one entity uses or is associated with a particular way or technique of crossing another entity or obstacle.
-
C.
connectsTravelBetween
Indicates a relationship where something (such as a route, service, or mode of transport) enables or provides travel between two locations.
-
D.
transportType
Indicates the mode or means of transportation used in carrying something or someone from one place to another.
-
E.
mobilityMethod
Indicates the means or method by which an entity moves or is transported 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_69f76e52e3108190becf70b090ae7bd6 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7cec454a88190a9f3bbee2b856636 |
completed | May 3, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69f7c8977c288190997a892ec5f756ed |
completed | May 3, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:10 p.m.