Triple
T6082901
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pālolo |
E135565
|
entity |
| Predicate | valleyExtendsToward |
P68546
|
FINISHED |
| Object | mauka (toward the mountains) |
—
|
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: mauka (toward the mountains) | Statement: [Pālolo, valleyExtendsToward, mauka (toward the mountains)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: valleyExtendsToward Context triple: [Pālolo, valleyExtendsToward, mauka (toward the mountains)]
-
A.
valleyType
Indicates the specific kind or classification of a valley that characterizes the relationship between the entities.
-
B.
valleyDesignation
Indicates that an entity is formally designated or classified as a valley in relation to a specified geographic or administrative context.
-
C.
valleyRegion
Indicates that one region is characterized as a valley area within a larger geographic or topographic context.
-
D.
hasValley
Indicates that one entity contains, features, or is characterized by the presence of a valley associated with the other entity.
-
E.
valleyUsedFor
Indicates that a valley serves a particular function, purpose, or activity for something or someone.
- F. None of above. chosen
Provenance (4 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_69c0087ad31c8190ab936e0ff28614b6 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05786233c81909010a6c2f7e7dfda |
completed | March 22, 2026, 8:56 p.m. |
| PD | Predicate disambiguation | batch_69c049f3b1ec8190bea67a7bec6442a5 |
completed | March 22, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69c04e8d4a148190bd8f95caae978e1b |
completed | March 22, 2026, 8:18 p.m. |
Created at: March 22, 2026, 4:11 p.m.