Triple
T35537770
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kern River Pipeline |
E1026975
|
entity |
| Predicate | destinationMarket |
P127496
|
FINISHED |
| Object | U.S. Southwest |
—
|
NE NERFINISHED |
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: U.S. Southwest | Statement: [Kern River Pipeline, destinationMarket, U.S. Southwest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: destinationMarket Context triple: [Kern River Pipeline, destinationMarket, U.S. Southwest]
-
A.
destinationCity
Indicates the city to which an entity is traveling, being sent, or ultimately directed.
-
B.
tradeDestination
chosen
Indicates the location or entity to which goods, services, or financial assets are sent or directed as part of a trade transaction.
-
C.
territoryOfDestination
Indicates that a specified territory is the destination or endpoint location associated with an action, movement, or relation.
-
D.
travelMarket
Indicates a relationship where an entity participates in or is associated with the commercial exchange, promotion, or sale of travel-related services or experiences.
-
E.
destinationOfVoyageTo
Indicates the endpoint location that a particular voyage or journey is directed toward or arrives at.
- 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_69f76dff7e508190b28ceeee770dce23 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f79a54aa3c8190b2bb5d790b2d42d4 |
completed | May 3, 2026, 6:56 p.m. |
| PD | Predicate disambiguation | batch_69f7961970408190b669cc556e30a608 |
completed | May 3, 2026, 6:38 p.m. |
Created at: May 3, 2026, 4:04 p.m.