Triple
T3330264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neriglissar |
E70015
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Kashshaya |
E347398
|
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: Kashshaya | Statement: [Neriglissar, spouse, Kashshaya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kashshaya Context triple: [Neriglissar, spouse, Kashshaya]
-
A.
Kashshaya
chosen
Kashshaya was a Neo-Babylonian royal woman known primarily as the wife of King Amel-Marduk.
-
B.
Khashuri
Khashuri is a town in central Georgia that serves as an important regional transport hub and gateway between eastern and western parts of the country.
-
C.
Yakhin
Yakhin is a variant form of the biblical name Jachin, traditionally associated with one of the two pillars of Solomon’s Temple.
-
D.
Krakhuna
Krakhuna is a Georgian white grape variety from the Imereti region, known for producing aromatic, full-bodied wines with pronounced acidity.
-
E.
Huvishka
Huvishka was a prominent Kushan emperor of the 2nd century CE, known for his extensive coinage and role in consolidating the empire’s power and cultural diversity across Central and South Asia.
- 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_69ad85a24f208190bcf83131bfed3521 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb171ee0881908642504ab0ac8329 |
completed | March 8, 2026, 5:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b31a810e2c8190bfc206bdeb1ac5b8 |
completed | March 12, 2026, 7:56 p.m. |
Created at: March 8, 2026, 3:12 p.m.