Triple
T7157670
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Maracaibo |
E166855
|
entity |
| Predicate | lightningActivity |
P10921
|
FINISHED |
| Object | among the highest in the world |
—
|
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: among the highest in the world | Statement: [Lake Maracaibo, lightningActivity, among the highest in the world]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lightningActivity Context triple: [Lake Maracaibo, lightningActivity, among the highest in the world]
-
A.
peakActivity
chosen
Indicates that an entity is at its highest or most intense level of activity within a given period or context.
-
B.
activityTime
Indicates the time period during which an activity occurs or is scheduled to take place.
-
C.
activity
Indicates that an entity is engaged in or performing a particular action, behavior, or process.
-
D.
liveAction
Indicates that an entity is a live-action (non-animated) adaptation, portrayal, or version of another entity.
-
E.
laterActivity
Indicates that one activity occurs after another in time, establishing a temporal ordering between them.
- 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_69c68887a5cc8190bec0ea96227164f7 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e80f14808190907ee84523630d85 |
completed | March 27, 2026, 8:26 p.m. |
| PD | Predicate disambiguation | batch_69c6e1cd5c948190a9113b23f7308c21 |
completed | March 27, 2026, 8 p.m. |
Created at: March 27, 2026, 2:47 p.m.