Triple
T8895607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ereshkigal |
E211797
|
entity |
| Predicate | offspring |
P980
|
FINISHED |
| Object | Namtar |
E233603
|
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: Namtar | Statement: [Ereshkigal, offspring, Namtar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Namtar Context triple: [Ereshkigal, offspring, Namtar]
-
A.
Namtar
chosen
Namtar is a Mesopotamian god associated with fate, death, and the underworld, often depicted as a divine herald or messenger of the gods of the dead.
-
B.
Gwarinpa
Gwarinpa is a large, planned residential district in Abuja, Nigeria, known for its extensive housing estates and relatively well-organized urban layout.
-
C.
Nobsa
Nobsa is a Colombian town known for its traditional wool textiles and crafts, located in the Boyacá Department.
-
D.
Nyishi
The Nyishi are one of the major indigenous tribes of northeastern India, known for their distinct language, traditional bamboo and cane craftsmanship, and rich cultural heritage.
-
E.
Taghmon
Taghmon is a village in County Wexford, Ireland, known for its historic ecclesiastical roots and rural community character.
- 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_69ca83918d3081909b326fa3750cb8c8 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc61be2c2081908f39cccdc149872d |
completed | April 1, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfba212fd081909ae87853c81e1d30 |
completed | April 3, 2026, 1:01 p.m. |
Created at: March 30, 2026, 6:54 p.m.