Triple
T9312939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | B-root |
E224047
|
entity |
| Predicate | zoneServed |
P82
|
FINISHED |
| Object | . (root zone) |
—
|
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: . (root zone) | Statement: [B-root, zoneServed, . (root zone)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: zoneServed Context triple: [B-root, zoneServed, . (root zone)]
-
A.
areaServed
chosen
Indicates the geographic region or jurisdiction within which a service, organization, or activity is provided or applicable.
-
B.
areaServedType
Indicates the type or category of area that is served by an entity or service.
-
C.
regionServedFromHub
Indicates that a particular region receives its services, operations, or logistical support from a specified hub location.
-
D.
serviceAreaName
Indicates the designated name of the geographic or functional area that a service covers or operates within.
-
E.
sectorServed
Indicates the industry or economic sector that an entity primarily serves or targets with its activities, products, or services.
- 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_69ca8425f4fc81909c1c586e9a5b7530 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd20ae96e481909a1af9ea1c91f2b2 |
completed | April 1, 2026, 1:42 p.m. |
| PD | Predicate disambiguation | batch_69cc7a61e9a4819096eb014f3791ef2e |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:37 p.m.