Triple
T35739517
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fatma Hanim |
E1032992
|
entity |
| Predicate | hasMemoryFocus |
P199474
|
FINISHED |
| Object | late Ottoman period |
—
|
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: late Ottoman period | Statement: [Fatma Hanim, hasMemoryFocus, late Ottoman period]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMemoryFocus Context triple: [Fatma Hanim, hasMemoryFocus, late Ottoman period]
-
A.
hasProgramFocus
Indicates that an entity (such as a program or initiative) is oriented around or primarily concerned with a particular thematic area, topic, or objective.
-
B.
hasCharacterFocus
Indicates that a work, scene, or segment centers primarily on a particular character’s experiences, perspective, or development.
-
C.
hasPrimaryFocus
Indicates that something is the main subject, concern, or area of attention for an entity or activity.
-
D.
hasMaterialFocus
Indicates that something is primarily concerned with, directed toward, or centered on a particular material or physical subject.
-
E.
hasGlobalFocus
Indicates that something is oriented toward, concerned with, or applicable to worldwide or international scope rather than a local or regional one.
- 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_69f76e10e59081908d81ad9ce22f40b6 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69ff3b32ee148190a3ba3b7600943fef |
completed | May 9, 2026, 1:48 p.m. |
| PD | Predicate disambiguation | batch_69ff3a238af88190a2c2245e30299e48 |
completed | May 9, 2026, 1:44 p.m. |
| PDg | Predicate description generation | batch_69ff3b323a748190827165f1cb274141 |
completed | May 9, 2026, 1:48 p.m. |
Created at: May 3, 2026, 4:05 p.m.