Triple
T20517384
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neytiri |
E503714
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Eywa |
—
|
NE NERFINISHED |
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: Eywa | Statement: [Neytiri, associatedWith, Eywa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eywa Context triple: [Neytiri, associatedWith, Eywa]
-
A.
Eywa
chosen
Eywa is the sentient, planet-wide life force and guiding deity of the Na'vi people in James Cameron's Avatar universe.
-
B.
Guri-El
Guri-El is a town in central Somalia that serves as an important local hub for the Hawiye clan and regional trade.
-
C.
Wasaga
Wasaga is a small settlement located on Horn Island in Queensland, Australia, serving as a residential and service hub for the island community.
-
D.
Anukis
Anukis is an ancient Egyptian goddess associated primarily with the Nile’s cataracts and southern frontier, often linked to fertility and protection.
-
E.
Maat
Maat is the ancient Egyptian goddess and personification of truth, justice, balance, and cosmic order, central to both mythology and pharaonic law.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4b2aa788190ae9eb37c1d73b1f1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69f42db688190a3ccfba5601e8bf3 |
completed | April 20, 2026, 9:48 p.m. |
Created at: April 16, 2026, 11:36 a.m.