Triple
T16726394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ziklag area |
E406473
|
entity |
| Predicate | timeAssociatedWithDavid |
P123510
|
FINISHED |
| Object | period before David became king of Israel |
—
|
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: period before David became king of Israel | Statement: [Ziklag area, timeAssociatedWithDavid, period before David became king of Israel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeAssociatedWithDavid Context triple: [Ziklag area, timeAssociatedWithDavid, period before David became king of Israel]
-
A.
associatedWithTime
Indicates a relationship where something is linked or connected to a specific point or period in time.
-
B.
dateOfRelatedEvent
Indicates that there is a specific date on which a related event associated with the subject occurs or occurred.
-
C.
timeCorrelation
Indicates that two events or states are related in time such that changes or occurrences in one are systematically associated with changes or occurrences in the other.
-
D.
timePeriodAttributed
chosen
Indicates that a specific time period is assigned or associated with an entity as its relevant temporal context.
-
E.
namedDuring
Indicates that an entity received its name during a specified time period or event.
- 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_69d8838f242881908abd8bc138795886 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e38747e43c8190a44487c4a9c94c7b |
completed | April 18, 2026, 1:29 p.m. |
| PD | Predicate disambiguation | batch_69e319c379f88190ac0adf812486f598 |
completed | April 18, 2026, 5:42 a.m. |
Created at: April 10, 2026, 5:20 a.m.