Triple
T23761153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Réunion volcanic province |
E587250
|
entity |
| Predicate | oldestMajorEvent |
P135950
|
FINISHED |
| Object | eruption of the Deccan Traps |
—
|
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: eruption of the Deccan Traps | Statement: [Réunion volcanic province, oldestMajorEvent, eruption of the Deccan Traps]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oldestMajorEvent Context triple: [Réunion volcanic province, oldestMajorEvent, eruption of the Deccan Traps]
-
A.
firstMajorEventAt
chosen
Indicates that the referenced event is the earliest major event associated with the given entity, specifying when that first significant occurrence takes place.
-
B.
firstMajorEventYear
Indicates the calendar year in which the entity’s first major event occurred.
-
C.
lastMajorEvent
Indicates the most recent significant event associated with an entity in a given context.
-
D.
firstMajorInternationalEvent
Indicates that the event is the earliest significant international-level occurrence in which the entity participated or was involved.
-
E.
secondOldestEvent
Indicates that an event is the second most ancient or earliest in time within a specified set or sequence of events.
- 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_69e2490b8ac48190a6b35f1d5500486b |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1bdb289508190a4a1049762102794 |
completed | April 29, 2026, 8:13 a.m. |
| PD | Predicate disambiguation | batch_69f155f79e34819080f9ddb972b34deb |
completed | April 29, 2026, 12:51 a.m. |
Created at: April 17, 2026, 7:14 p.m.