Triple
T192682
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ISOLDE |
E3753
|
entity |
| Predicate | userCommunity |
P3292
|
FINISHED |
| Object | international |
—
|
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: international | Statement: [ISOLDE, userCommunity, international]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: userCommunity Context triple: [ISOLDE, userCommunity, international]
-
A.
notableCommunity
Indicates that an entity is a particularly prominent or significant member of a given community.
-
B.
hasOnlineCommunity
Indicates that an entity maintains or is associated with a community that interacts primarily through online platforms or digital channels.
-
C.
hasNearbyCommunity
Indicates that one entity has another community located close to it in geographic or spatial terms.
-
D.
hasCommunitySpace
Indicates that an entity provides or includes a shared physical or virtual area intended for communal use, activities, or gatherings.
-
E.
hasCommunityType
chosen
Indicates that an entity is associated with or classified under a particular type or category of community.
- 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_69a2548debd48190ae3a06d6e65b53c6 |
completed | Feb. 28, 2026, 2:35 a.m. |
| NER | Named-entity recognition | batch_69a259669ba08190a5be1d2e10e70b27 |
completed | Feb. 28, 2026, 2:56 a.m. |
| PD | Predicate disambiguation | batch_69a2567567508190b3a41329a15c7156 |
completed | Feb. 28, 2026, 2:44 a.m. |
Created at: Feb. 28, 2026, 2:41 a.m.