Triple
T20611623
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Islam and the West |
E506460
|
entity |
| Predicate | includesHistoricalPhase |
P51981
|
FINISHED |
| Object | medieval encounters |
—
|
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: medieval encounters | Statement: [Islam and the West, includesHistoricalPhase, medieval encounters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesHistoricalPhase Context triple: [Islam and the West, includesHistoricalPhase, medieval encounters]
-
A.
includeHistoricalSee
Indicates that a relationship or reference should also encompass or display historically related "see also" connections or pointers.
-
B.
hasHistoricalSection
Indicates that something includes a dedicated part or segment that presents historical information or context.
-
C.
hasHistoricity
Indicates that something possesses historical existence, significance, or authenticity, rather than being purely fictional, mythical, or timeless.
-
D.
hasChronologicalPhase
chosen
Indicates that something is associated with, or occurs during, a specific chronological phase or time period in a sequence of development or events.
-
E.
hasHistoricalContext
Indicates that something is related to, influenced by, or best understood in light of specific past events, conditions, or time periods.
- 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_69e0b4bb2b4081908fa4a72444120f35 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6aad81bdc8190aa6f6164f406a468 |
completed | April 20, 2026, 10:38 p.m. |
| PD | Predicate disambiguation | batch_69e5a00c43308190b7ea58d559257e07 |
completed | April 20, 2026, 3:39 a.m. |
Created at: April 16, 2026, 11:41 a.m.