Triple
T11580598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iga (palaces) of Lagos ruling houses |
E274614
|
entity |
| Predicate | temporalUse |
P51711
|
FINISHED |
| Object | continuous use into the 21st century |
—
|
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: continuous use into the 21st century | Statement: [Iga (palaces) of Lagos ruling houses, temporalUse, continuous use into the 21st century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: temporalUse Context triple: [Iga (palaces) of Lagos ruling houses, temporalUse, continuous use into the 21st century]
-
A.
hasTemporalUse
chosen
Indicates that something is used, applicable, or valid only during a specific time or temporal interval.
-
B.
temporal
Indicates a relationship that situates one event, state, or entity in time relative to another (e.g., before, after, or during).
-
C.
temporality
Indicates the time-related relationship between events or states, such as their order, duration, or simultaneity.
-
D.
temporalAspect
Indicates the time-related characteristics or phase (such as duration, frequency, or temporal status) associated with an event or relationship.
-
E.
temporalEffect
Indicates a relationship where one event, state, or action produces consequences or changes that occur at a later time.
- 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_69d6aae5ac3c81908d2b0a3a665665b2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8904c51b881909e7be84c6f3de79f |
completed | April 10, 2026, 5:53 a.m. |
| PD | Predicate disambiguation | batch_69d85dcbacd0819094d4a1237055affa |
completed | April 10, 2026, 2:17 a.m. |
Created at: April 8, 2026, 9:38 p.m.