Triple
T30169375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Larak |
E766875
|
entity |
| Predicate | kingListSequencePosition |
P168832
|
FINISHED |
| Object | follows Bad-tibira in some recensions |
—
|
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: follows Bad-tibira in some recensions | Statement: [Larak, kingListSequencePosition, follows Bad-tibira in some recensions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: kingListSequencePosition Context triple: [Larak, kingListSequencePosition, follows Bad-tibira in some recensions]
-
A.
positionInDynasty
Indicates the specific role or rank an individual holds within a particular dynasty’s internal hierarchy.
-
B.
positionInLineOfSuccessionToThrone
Indicates the ordinal place an individual holds in the ordered sequence of heirs eligible to inherit a throne.
-
C.
eraSequenceWithinDynasty
Indicates that one historical era occurs in a specific ordered position relative to another era within the same dynasty.
-
D.
monarchicRank
Indicates the hierarchical level or status an individual holds within a monarchical system of rule.
-
E.
positionInRoyalFamily
Indicates the familial rank or role an individual holds within a royal family hierarchy.
- 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_69f2247a968881909d79c18f2bfcb275 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f67f0a5f588190930a23b8a8a5aff9 |
completed | May 2, 2026, 10:47 p.m. |
| PD | Predicate disambiguation | batch_69f675ff62c48190a634bbb8896973b9 |
completed | May 2, 2026, 10:09 p.m. |
| PDg | Predicate description generation | batch_69f676f73c3481909f01fa69851b7298 |
completed | May 2, 2026, 10:13 p.m. |
Created at: April 29, 2026, 7:24 p.m.