Triple
T20544719
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fadian, Mangilao, Guam |
E504439
|
entity |
| Predicate | hasUtilityFunction |
P124775
|
FINISHED |
| Object | hosts utility infrastructure |
—
|
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: hosts utility infrastructure | Statement: [Fadian, Mangilao, Guam, hasUtilityFunction, hosts utility infrastructure]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasUtilityFunction Context triple: [Fadian, Mangilao, Guam, hasUtilityFunction, hosts utility infrastructure]
-
A.
usesFunction
Indicates that one entity employs, invokes, or relies on a particular function to perform an operation or achieve a result.
-
B.
hasMajorUtility
chosen
Indicates that an entity possesses or is served by a primary or significant utility service (such as power, water, or gas).
-
C.
hasPrimaryFunction
Indicates that one entity serves as the main or principal function or role of another entity.
-
D.
hasUserFunction
Indicates that an entity is associated with, or assigned, a particular user-related role, capability, or function.
-
E.
hasCommercialFunction
Indicates that an entity serves a commercial role or purpose, such as engaging in trade, sales, or other profit-oriented activities.
- 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_69e0b4b52c048190952b4d0f430813a3 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a2957c308190aab81127f82f8aa6 |
completed | April 20, 2026, 10:03 p.m. |
| PD | Predicate disambiguation | batch_69e59fe5592c8190bb6122b784496d02 |
completed | April 20, 2026, 3:39 a.m. |
Created at: April 16, 2026, 11:38 a.m.