Triple
T4496567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Debed River |
E100709
|
entity |
| Predicate | hasValleyUsedFor |
P44109
|
FINISHED |
| Object | transportation corridor |
—
|
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: transportation corridor | Statement: [Debed River, hasValleyUsedFor, transportation corridor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasValleyUsedFor Context triple: [Debed River, hasValleyUsedFor, transportation corridor]
-
A.
hasValley
Indicates that one entity contains, features, or is characterized by the presence of a valley associated with the other entity.
-
B.
valleyUsedFor
chosen
Indicates that a valley serves a particular function, purpose, or activity for something or someone.
-
C.
hasHumanUse
Indicates that something is used, employed, or utilized by humans for a particular purpose or benefit.
-
D.
hasPeak
Indicates that something possesses or contains a highest point, summit, or maximum value.
-
E.
valleyType
Indicates the specific kind or classification of a valley that characterizes the relationship between the entities.
- 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_69bd43cdf15081909a4fa2585ff63b3e |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd56bf3ff48190b3aae0136d7fce45 |
completed | March 20, 2026, 2:16 p.m. |
| PD | Predicate disambiguation | batch_69bd521671688190bc655d25fa77eba2 |
completed | March 20, 2026, 1:56 p.m. |
Created at: March 20, 2026, 1 p.m.