Triple
T9661660
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Namtar |
E233603
|
entity |
| Predicate | residence |
P75
|
FINISHED |
| Object | Irkalla |
E765156
|
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: Irkalla | Statement: [Namtar, residence, Irkalla]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Irkalla Context triple: [Namtar, residence, Irkalla]
-
A.
Irkalla
chosen
Irkalla is the Mesopotamian underworld, a gloomy realm of the dead ruled by the goddess Ereshkigal.
-
B.
Ziria
Ziria is a mountain in the northeastern Peloponnese of Greece, traditionally identified with Mount Cyllene, which is famed in Greek mythology as the birthplace of the god Hermes.
-
C.
Ishbia
Ishbia is the surname of Mat Ishbia, an American billionaire businessman and owner of the NBA’s Phoenix Suns.
-
D.
Novilara
Novilara is an archaeological site and locality in the Marche region of Italy, known for its ancient Picene culture remains and notable funerary stelae.
-
E.
Tayshet
Tayshet is a town in Irkutsk Oblast, Russia, known as a major railway junction in Siberia.
- 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_69ca848d3b6c8190ae98ea554dea58df |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9c0a15e4819092ea0fb2cb6e1c12 |
completed | April 1, 2026, 10:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d18a1422348190967943b0d4da8efd |
completed | April 4, 2026, 10 p.m. |
Created at: March 30, 2026, 8:14 p.m.