Triple
T26248910
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thylacinus cynocephalus |
E656526
|
entity |
| Predicate | lastKnownWildSightingYear |
P160406
|
FINISHED |
| Object | 1930 |
—
|
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: 1930 | Statement: [Thylacinus cynocephalus, lastKnownWildSightingYear, 1930]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lastKnownWildSightingYear Context triple: [Thylacinus cynocephalus, lastKnownWildSightingYear, 1930]
-
A.
lastKnownWildRecords
Indicates the most recent documented instances of a species or entity observed in the wild before it disappeared or became otherwise unrecorded in natural conditions.
-
B.
lastKnownWildIndividuals
Indicates the most recent recorded individuals of a species that were observed living in the wild.
-
C.
lastConfirmedSightingLocation
Indicates the most recent location where the entity was reliably observed or reported.
-
D.
lastWildPopulationSite
Indicates the location where the last known wild population of a species was found or persisted.
-
E.
hasWildPopulationOf
Indicates that a location or area contains a naturally occurring, non-captive population of the specified species.
- F. None of above. chosen
Provenance (4 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_69ee5b4d25ac819086acb51184602576 |
completed | April 26, 2026, 6:37 p.m. |
| NER | Named-entity recognition | batch_69f60dc8882c8190853698e6b1903853 |
completed | May 2, 2026, 2:44 p.m. |
| PD | Predicate disambiguation | batch_69f5f7fd90fc81909055b211368f9139 |
completed | May 2, 2026, 1:11 p.m. |
| PDg | Predicate description generation | batch_69f600be0de88190989611e952b03117 |
completed | May 2, 2026, 1:48 p.m. |
Created at: April 26, 2026, 9:06 p.m.