Triple
T1378391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ornytion |
E29277
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object | Almus |
E29278
|
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: Almus | Statement: [Ornytion, sibling, Almus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Almus Context triple: [Ornytion, sibling, Almus]
-
A.
Almus
chosen
Almus is a figure in Greek mythology known as a son of Merope and associated with the region of Orchomenus in Boeotia.
-
B.
Barquq
Barquq was a prominent 14th-century Mamluk sultan of Egypt who founded the Burji (Circassian) Mamluk dynasty and played a key role in reshaping the political landscape of the late medieval Islamic world.
-
C.
Balma
Balma is a suburban commune in southwestern France located just east of Toulouse in the Occitanie region.
-
D.
Montaza
Montaza is a coastal district and popular recreational area in Alexandria, Egypt, known for its historic royal palace, expansive gardens, and Mediterranean beaches.
-
E.
Rutba
Rutba is a remote desert town in western Iraq that serves as a key transit point on the highway linking Baghdad with Jordan and Syria.
- 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_69a498d883a48190bfdca525296ef7ee |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c3173548819082aec7c1af9c577c |
completed | March 1, 2026, 10:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acd488698481909411c004aadfcaec |
completed | March 8, 2026, 1:44 a.m. |
Created at: March 1, 2026, 7:59 p.m.