Triple
T14277667
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ibrahim Quli Qutb Shah |
E353955
|
entity |
| Predicate | languagePatronized |
P113561
|
FINISHED |
| Object | Persian |
—
|
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: Persian | Statement: [Ibrahim Quli Qutb Shah, languagePatronized, Persian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languagePatronized Context triple: [Ibrahim Quli Qutb Shah, languagePatronized, Persian]
-
A.
honorificUsage
Indicates that one entity refers to or addresses another using an honorific title or respectful linguistic form.
-
B.
honorificSense
Indicates that one entity refers to another using an honorific or respectful linguistic form.
-
C.
honorificStructure
Indicates a relationship where one entity’s title, form of address, or honorific expression is structurally linked to or derived from another entity within a formal naming or address system.
-
D.
honorificLevel
Indicates the level of formality or respect expressed toward an entity, typically reflected in language or titles used when addressing or referring to them.
-
E.
honorificIndicates
Indicates that one entity uses an honorific title or respectful form of address to refer to or address another entity.
- 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_69d8278d25148190abf1a8c8f5f533ad |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6583f0ec81909ebfc7a2c6351ff8 |
completed | April 14, 2026, 4:04 p.m. |
| PD | Predicate disambiguation | batch_69de2a88446481909cd526da97a3b70f |
completed | April 14, 2026, 11:52 a.m. |
| PDg | Predicate description generation | batch_69de2e07d1f88190bdcd20967e484718 |
completed | April 14, 2026, 12:07 p.m. |
Created at: April 10, 2026, 1:10 a.m.