Triple
T17941399
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Agha |
E448595
|
entity |
| Predicate | rankRelativeToPasha |
P9684
|
FINISHED |
| Object | lower |
—
|
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: lower | Statement: [Agha, rankRelativeToPasha, lower]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankRelativeToPasha Context triple: [Agha, rankRelativeToPasha, lower]
-
A.
rankBeforeKingship
Indicates that one entity held a higher or earlier rank or status than another entity prior to that other entity attaining kingship.
-
B.
nobleRankInHierarchy
Indicates the relative position or level of a noble title within a structured hierarchy of ranks.
-
C.
nobleRankIn
Indicates that an entity holds a specified noble rank within a particular political or territorial jurisdiction.
-
D.
rankRelativeToPeerage
chosen
Indicates how an entity’s hierarchical rank compares to that of a specified peer or peer group within a defined ranking system.
-
E.
rankEquivalent
Indicates that two entities hold the same rank or hierarchical level within a given ordering or classification system.
- 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_69d8b9f79d14819095540856928f0e25 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4ad95f4608190b1ebb45944218f07 |
completed | April 19, 2026, 10:25 a.m. |
| PD | Predicate disambiguation | batch_69e3f8e713d481908b4a126258c18b63 |
completed | April 18, 2026, 9:34 p.m. |
Created at: April 10, 2026, 10:21 a.m.