Triple
T2049611
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doris |
E45534
|
entity |
| Predicate | consortOf |
P2932
|
FINISHED |
| Object | Nereus |
E137953
|
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: Nereus | Statement: [Doris, consortOf, Nereus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nereus Context triple: [Doris, consortOf, Nereus]
-
A.
Tonna
Tonna is a village and community in Neath Port Talbot, South Wales, known for its residential character and proximity to the town of Neath.
-
B.
Sirena Deep
Sirena Deep is one of the deepest known points in the world's oceans, located within the Mariana Trench in the western Pacific Ocean.
-
C.
Glaucus
chosen
Glaucus is a sea-god from Greek mythology, often depicted as a transformed fisherman endowed with prophetic powers.
-
D.
Pantar
Pantar is an island in eastern Indonesia’s Alor archipelago, known for its linguistic diversity and use of several Central Malayo-Polynesian languages.
-
E.
Thalassa
Thalassa is a small, inner irregularly shaped moon of Neptune that orbits close to the planet within its ring system.
- 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_69a8891948208190ab7898da21824c77 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb98e10d48190bb96cd1f8ea3c08b |
completed | March 7, 2026, 5:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae27170870819083112aee662c681c |
completed | March 9, 2026, 1:49 a.m. |
Created at: March 4, 2026, 7:39 p.m.