Triple
T2581547
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gurabo |
E57101
|
entity |
| Predicate | borderingContext |
P29457
|
FINISHED |
| Object | greater San Juan urban area |
—
|
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: greater San Juan urban area | Statement: [Gurabo, borderingContext, greater San Juan urban area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: borderingContext Context triple: [Gurabo, borderingContext, greater San Juan urban area]
-
A.
borderContext
chosen
Indicates that one entity serves as a contextual or reference boundary that defines, constrains, or frames the scope or limits of another entity or interaction.
-
B.
transboundaryContext
Indicates a context, situation, or effect that crosses or involves the boundaries between two or more distinct jurisdictions, regions, or territories.
-
C.
borderedBy
Indicates that one entity shares a common boundary or edge with another entity.
-
D.
languageBorderInvolved
Indicates that a situation, event, or relationship involves or is affected by a boundary between different languages or linguistic communities.
-
E.
contextOf
Indicates that one entity provides the situational, informational, or environmental background within which another entity exists, occurs, or is interpreted.
- 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_69ab4a4dca6481908c301f8e317396e7 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd3c843bc8190837cea3441bf3ca1 |
completed | March 7, 2026, 7:29 a.m. |
| PD | Predicate disambiguation | batch_69abd0cfeae08190aed03866ba071c5c |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:49 p.m.