Triple
T8698716
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meroitic art |
E206466
|
entity |
| Predicate | foundAt |
P9687
|
FINISHED |
| Object | Naqa |
E207483
|
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: Naqa | Statement: [Meroitic art, foundAt, Naqa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Naqa Context triple: [Meroitic art, foundAt, Naqa]
-
A.
Naqa
chosen
Naqa was an ancient city and religious center of the Kingdom of Meroë in what is now Sudan, notable for its well-preserved temples and Kushite-period monuments.
-
B.
Shawiya
Shawiya refers to an Amazigh (Berber) ethnic group and their Zenati Berber language spoken primarily in the Aurès Mountains of northeastern Algeria.
-
C.
Ya'uq
Ya'uq is an idol mentioned in Islamic tradition as one of the false gods worshipped by the people of Prophet Noah.
-
D.
Nasar
Nasar is a surname most notably associated with Sylvia Nasar, the economist and author of "A Beautiful Mind."
-
E.
Nasr
Nasr is an ancient Arabian deity, often linked to a vulture or eagle, venerated in parts of pre-Islamic South Arabia.
- 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_69ca83555b6c8190abe930dd397e863b |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc58af50408190a3b81100a759795e |
completed | March 31, 2026, 11:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf5165c7708190988eeacf4789b708 |
completed | April 3, 2026, 5:34 a.m. |
Created at: March 30, 2026, 6:34 p.m.