Triple
T5935019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Belšar-uṣur |
E132021
|
entity |
| Predicate | governedWhile |
P67008
|
FINISHED |
| Object | Nabonidus was in Tayma |
—
|
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: Nabonidus was in Tayma | Statement: [Belšar-uṣur, governedWhile, Nabonidus was in Tayma]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: governedWhile Context triple: [Belšar-uṣur, governedWhile, Nabonidus was in Tayma]
-
A.
governedWith
Indicates that two or more entities share or participate together in the act or process of governing.
-
B.
governedAs
Indicates that one entity exercises authoritative control, direction, or rule over another according to some system of governance or leadership.
-
C.
governed by
Indicates that an entity is under the authority, control, or administration of another entity that makes and enforces rules or decisions for it.
-
D.
governedThrough
Indicates that one entity exercises control, authority, or administration over another entity by means of a specified intermediary mechanism, structure, or process.
-
E.
governedFrom
Indicates that an entity exercises governing authority or administrative control over another entity from a specific location or seat of power.
- 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_69c0085c55dc8190aa90e242c956e2fa |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03f26f51881908cc253fe5775a1fc |
completed | March 22, 2026, 7:12 p.m. |
| PD | Predicate disambiguation | batch_69c03355caf08190b960563a1aed23f9 |
completed | March 22, 2026, 6:22 p.m. |
| PDg | Predicate description generation | batch_69c03f23dd20819089dbf0de0d913602 |
completed | March 22, 2026, 7:12 p.m. |
Created at: March 22, 2026, 4:01 p.m.