Triple
T1884934
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NVTC |
E39941
|
entity |
| Predicate | hasMemberJurisdictions |
P34358
|
FINISHED |
| Object | cities in Northern Virginia |
—
|
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: cities in Northern Virginia | Statement: [NVTC, hasMemberJurisdictions, cities in Northern Virginia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMemberJurisdictions Context triple: [NVTC, hasMemberJurisdictions, cities in Northern Virginia]
-
A.
hasNonRegionalMemberCountries
Indicates that an organization includes member countries that are not part of the primary geographic region with which the organization is associated.
-
B.
hasMembersPerState
Indicates a relationship that specifies how many members are associated with each state.
-
C.
memberStatesAreMemberOf
Indicates that certain states belong to or hold membership in a particular organization, group, or union.
-
D.
hasRegionalOrganizationMembershipViaConstituents
Indicates that an entity is considered a member of a regional organization indirectly, by virtue of its constituent parts or sub-entities holding that membership.
-
E.
hasRegionalAffiliation
Indicates that an entity is associated with, belongs to, or is officially linked to a specific geographic region.
- 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_69a88633e4fc8190b7eb40463e048ec5 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb4f53f408190ae30e1a12721e7d7 |
completed | March 7, 2026, 5:17 a.m. |
| PD | Predicate disambiguation | batch_69abafe497a88190a1da6af2888b71b4 |
completed | March 7, 2026, 4:56 a.m. |
| PDg | Predicate description generation | batch_69abb4f3fb9481908b54506dc2836124 |
completed | March 7, 2026, 5:17 a.m. |
Created at: March 4, 2026, 7:34 p.m.