Triple
T38028537
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spanish Uncharted World |
E948844
|
entity |
| Predicate | explorationMotives |
P189599
|
FINISHED |
| Object | trade routes |
—
|
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: trade routes | Statement: [Spanish Uncharted World, explorationMotives, trade routes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: explorationMotives Context triple: [Spanish Uncharted World, explorationMotives, trade routes]
-
A.
explorationMotivation
chosen
Indicates a relationship where an entity is driven by curiosity or desire to discover, learn about, or investigate new places, ideas, or experiences.
-
B.
explorationPurpose
Indicates that an entity is engaged in or associated with an activity whose primary goal is exploration or discovery.
-
C.
explorationType
Indicates the specific kind or category of exploration activity associated with an entity or event.
-
D.
explorationBy
Indicates a relationship where one entity conducts or performs exploration directed at or involving another entity.
-
E.
tourismMotivation
Indicates the reasons or driving factors that motivate an entity (typically a person) to engage in tourism or travel activities.
- 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_69f76efd1bc48190a729097fe5177b61 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fc4748843c8190931432653be4890c |
completed | May 7, 2026, 8:03 a.m. |
| PD | Predicate disambiguation | batch_69fc45646ce481908caf292ff9f06e15 |
completed | May 7, 2026, 7:55 a.m. |
Created at: May 3, 2026, 4:20 p.m.