Triple
T59178
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gombe Stream Research Centre |
E1171
|
entity |
| Predicate | hasLongTermDatasetSince |
P4242
|
FINISHED |
| Object | 1960s |
—
|
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: 1960s | Statement: [Gombe Stream Research Centre, hasLongTermDatasetSince, 1960s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLongTermDatasetSince Context triple: [Gombe Stream Research Centre, hasLongTermDatasetSince, 1960s]
-
A.
usedSince
Indicates that an entity has been in use starting from a specified point in time and continuing thereafter.
-
B.
hasTenantSince
Indicates that an entity has been the tenant of another entity starting from a specified point in time.
-
C.
inUseSince
Indicates that an entity has been actively in use starting from a specified point in time.
-
D.
usedSinceCentury
Indicates that something has been in use starting from a specified century.
-
E.
hasTradingDays
Indicates that an entity is associated with specific days on which trading or commercial transactions are conducted.
- 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_69a24a552ef88190a0df287d68c65cba |
completed | Feb. 28, 2026, 1:52 a.m. |
| NER | Named-entity recognition | batch_69a250e401288190ba12322c9c5f07c9 |
completed | Feb. 28, 2026, 2:20 a.m. |
| PD | Predicate disambiguation | batch_69a24e9f40908190a2f4a2111469b733 |
completed | Feb. 28, 2026, 2:10 a.m. |
| PDg | Predicate description generation | batch_69a250e2a80881909e5a653260e6f8e0 |
completed | Feb. 28, 2026, 2:20 a.m. |
Created at: Feb. 28, 2026, 1:55 a.m.