Triple
T12675106
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jaluit High School |
E302787
|
entity |
| Predicate | servesRuralCommunities |
P80865
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Jaluit High School, servesRuralCommunities, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servesRuralCommunities Context triple: [Jaluit High School, servesRuralCommunities, yes]
-
A.
servesRuralArea
chosen
Indicates that an entity provides services or support specifically to people or communities located in rural areas.
-
B.
hasRuralServiceTown
Indicates that a rural area or region is associated with, and typically receives services from, a specific town that functions as its service center.
-
C.
ruralCoverage
Indicates the extent to which a service, infrastructure, or resource is available or provided in rural areas.
-
D.
servesTownship
Indicates that an entity provides official services or administrative functions to a particular township.
-
E.
servesCommunitiesAlong
Indicates that something provides services or support to the communities located along a particular route, corridor, or area.
- 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_69d7bdee64a08190801c6d470aefd723 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961af991c8190b6079cb57e593b8f |
completed | April 10, 2026, 8:46 p.m. |
| PD | Predicate disambiguation | batch_69d960bb64ec8190bd0400cf0cc8b0a7 |
completed | April 10, 2026, 8:42 p.m. |
Created at: April 9, 2026, 5:20 p.m.