Triple
T9009995
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nimrud |
E215442
|
entity |
| Predicate | destroyedBy |
P5325
|
FINISHED |
| Object | ISIS |
E133146
|
NE 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: ISIS | Statement: [Nimrud, destroyedBy, ISIS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ISIS Context triple: [Nimrud, destroyedBy, ISIS]
-
A.
ISIS
chosen
ISIS is a violent extremist Islamist militant group known for establishing a self-proclaimed caliphate in parts of Iraq and Syria and carrying out widespread terrorist attacks.
-
B.
IS
IS is the two-letter ISO 3166-1 alpha-2 country code representing Iceland in international standards and systems.
-
C.
IS
IS is the commonly used abbreviation for the extremist militant group known as the Islamic State.
-
D.
IS
IS is the vehicle registration code assigned to the Italian province of Isernia.
-
E.
ISA
ISA (Industry Standard Architecture) is an early computer bus standard used in IBM PCs and compatible systems to connect expansion cards and peripherals to the motherboard.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca83a2bf088190986ee7a8eb90407d |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc69c00ae8819090786385a72e8baf |
completed | April 1, 2026, 12:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfdb9a11948190a43f60d0df71b1af |
completed | April 3, 2026, 3:24 p.m. |
Created at: March 30, 2026, 7:06 p.m.