Triple
T25795833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pango |
E649676
|
entity |
| Predicate | hasSocialLinkWith |
P150269
|
FINISHED |
| Object | Port Vila |
—
|
NE NERFINISHED |
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: Port Vila | Statement: [Pango, hasSocialLinkWith, Port Vila]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSocialLinkWith Context triple: [Pango, hasSocialLinkWith, Port Vila]
-
A.
hasSocialService
Indicates that an entity provides, offers, or is associated with a social service to another entity or community.
-
B.
hasCommunityLink
Indicates that there exists an established connection or association between an entity and a community.
-
C.
hasCommunityLinks
Indicates that an entity maintains relationships, partnerships, or active connections with one or more communities.
-
D.
hasOfficialSocialMedia
Indicates that an entity maintains an officially recognized social media account or profile.
-
E.
hasSocialTieWith
chosen
Indicates a social relationship or connection exists between two entities, such as friendship, acquaintance, or other interpersonal tie.
- 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_69e7ab34f8c8819099f6c4dabdabf129 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f650c70d7c819093d9a0f005f7c8d5 |
completed | May 2, 2026, 7:30 p.m. |
| PD | Predicate disambiguation | batch_69f64cab1f648190a2a9460690d18a37 |
completed | May 2, 2026, 7:12 p.m. |
Created at: April 22, 2026, 6:30 a.m.