Triple
T25994614
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oaxaca highlands |
E646449
|
entity |
| Predicate | hasTransportationIssue |
P72800
|
FINISHED |
| Object | rugged terrain |
—
|
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: rugged terrain | Statement: [Oaxaca highlands, hasTransportationIssue, rugged terrain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTransportationIssue Context triple: [Oaxaca highlands, hasTransportationIssue, rugged terrain]
-
A.
hasTransportIssue
chosen
Indicates that an entity is experiencing a problem, disruption, or malfunction related to transportation or a transport service.
-
B.
hasTransportationAbove
Indicates that one entity provides or has transportation infrastructure or services located above another entity (e.g., elevated roads, railways, or transit lines).
-
C.
hasGroundTransportation
Indicates that an entity provides, includes, or is connected to transportation services or options that operate on land (e.g., cars, buses, trains).
-
D.
hasTransportationSystem
Indicates that an entity possesses, operates, or is served by an organized system for transporting people or goods.
-
E.
hasTransportationContext
Indicates that there is a contextual relationship involving transportation modes, conditions, or circumstances relevant to the associated entities or event.
- 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_69e77e88cb8481908da31d4a00661f55 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f6cee45590819086e489bfccbe4ac3 |
completed | May 3, 2026, 4:28 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1188708190b8f0f56e595e6057 |
completed | May 3, 2026, 4:16 a.m. |
Created at: April 22, 2026, 8:57 a.m.