Triple
T21335938
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Phoenix |
E526045
|
entity |
| Predicate | hasNameForm |
P19207
|
FINISHED |
| Object | Φοῖνιξ (Phoinix) |
—
|
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: Φοῖνιξ (Phoinix) | Statement: [Phoenix, hasNameForm, Φοῖνιξ (Phoinix)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Φοῖνιξ (Phoinix) Context triple: [Phoenix, hasNameForm, Φοῖνιξ (Phoinix)]
-
A.
Phénix
Phénix is the French Air and Space Force’s designation for its Airbus A330 MRTT multirole tanker and transport aircraft.
-
B.
Phoenice
Phoenice was an important ancient city in Epirus that served as a major political and economic center in the Hellenistic period.
-
C.
the Phoenix
The Phoenix is a character in the 2010 film "Runaway," likely serving as a symbolic or pivotal figure within its narrative.
-
D.
Φοινίκη
chosen
Η Φοινίκη ήταν αρχαία περιοχή της ανατολικής Μεσογείου, γνωστή για τους θαλασσοπόρους και εμπόρους της καθώς και για την ανάπτυξη του φοινικικού αλφαβήτου.
-
E.
Phénice
Phénice is a secondary character in Jean-Baptiste Lully’s opera *Armide*, serving as one of Armide’s confidantes and attendants.
- 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_69e0b51c33048190ab27cede74ef798c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e898d7d8b88190b2f346e4592b3bc5 |
completed | April 22, 2026, 9:46 a.m. |
Created at: April 16, 2026, 4:43 p.m.