Triple
T13390628
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mitanni kingdom |
E319562
|
entity |
| Predicate | alternateName |
P39
|
FINISHED |
| Object | Hanigalbat |
E722152
|
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: Hanigalbat | Statement: [Mitanni kingdom, alternateName, Hanigalbat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hanigalbat Context triple: [Mitanni kingdom, alternateName, Hanigalbat]
-
A.
Hanigalbat
chosen
Hanigalbat was the name used in ancient Near Eastern sources, particularly Assyrian, to refer to the Hurrian kingdom of Mitanni in northern Mesopotamia during the second millennium BCE.
-
B.
Hamutal
Hamutal was a queen of Judah, known as the mother of the last king of Judah, Zedekiah, during the final years before the Babylonian exile.
-
C.
Shalla-Bal
Shalla-Bal is a prominent Marvel Comics character, the beloved of the Silver Surfer and often the spiritual and political leader of his homeworld, Zenn-La.
-
D.
Haiger
Haiger is a small town in the German state of Hesse, known for its location in the Lahn-Dill district near the borders with North Rhine-Westphalia and Rhineland-Palatinate.
-
E.
Malgobek
Malgobek is a town in the North Caucasus region of Russia known for its oil industry and role in World War II.
- 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_69d806b886bc8190b676e7768b8e01c5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dba0d543348190a9c1be509b015c0f |
completed | April 12, 2026, 1:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f72691c8d08190b971d7e914863cc1 |
completed | May 3, 2026, 10:42 a.m. |
Created at: April 9, 2026, 9:34 p.m.