Triple
T9792983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Batnan in Serugh |
E237648
|
entity |
| Predicate | hasTitle |
P38
|
FINISHED |
| Object | Batnae of Serugh |
E46763
|
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: Batnae of Serugh | Statement: [Batnan in Serugh, hasTitle, Batnae of Serugh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Batnae of Serugh Context triple: [Batnan in Serugh, hasTitle, Batnae of Serugh]
-
A.
Neriglissar
Neriglissar was a 6th-century BCE king of the Neo-Babylonian Empire, known for seizing the throne after Nebuchadnezzar II’s son and for his building projects in Babylon.
-
B.
Bardaï
Bardaï is a remote oasis town in northern Chad that serves as an important administrative and cultural center in the Tibesti region.
-
C.
Narsai
chosen
Narsai was a prominent 5th-century Syriac Christian theologian and poet, renowned for his extensive homilies and influential role in the Church of the East.
-
D.
Gaheris
Gaheris is a knight of the Round Table in Arthurian legend, known as one of King Arthur’s nephews and a member of the Orkney clan.
-
E.
Sarya Tlass
Sarya Tlass is a Syrian businesswoman and daughter of longtime Syrian defense minister Mustafa Tlass, known for her connections to the country’s political elite.
- 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_69ca84dc04488190b9c91193976c0960 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda346945481908c2698a79c578ef5 |
completed | April 1, 2026, 10:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1c4368da88190a70e93ec4d6bef93 |
completed | April 5, 2026, 2:08 a.m. |
Created at: March 30, 2026, 8:28 p.m.