Triple
T37368531
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tovaangar |
E927774
|
entity |
| Predicate | hasModernIslandWithin |
P970
|
FINISHED |
| Object | Santa Catalina Island |
—
|
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: Santa Catalina Island | Statement: [Tovaangar, hasModernIslandWithin, Santa Catalina Island]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasModernIslandWithin Context triple: [Tovaangar, hasModernIslandWithin, Santa Catalina Island]
-
A.
hasAncestralIsland
Indicates that an entity has a specific island from which its ancestors originated or to which its lineage is historically tied.
-
B.
hasIsland
chosen
Indicates that one entity possesses, contains, or includes an island as part of its domain, territory, or structure.
-
C.
hasIslandArc
Indicates that one geographic or geological entity possesses or is associated with an island arc feature.
-
D.
hasOldestIsland
Indicates that one entity possesses or is associated with the island that is the oldest among a specified set or group.
-
E.
hasNearbyMainIsland
Indicates that one entity has a main island located in close geographic proximity to it.
- 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_69f76eb820248190a5c395ca50ad002a |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69ff90b673248190b4dda9e005642d17 |
completed | May 9, 2026, 7:53 p.m. |
| PD | Predicate disambiguation | batch_69ff8d5bee1081909274052945e98a6f |
completed | May 9, 2026, 7:39 p.m. |
Created at: May 3, 2026, 4:16 p.m.