Triple
T22298272
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goodyear |
E551180
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Phoenix |
—
|
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: Phoenix | Statement: [Goodyear, adjacentTo, Phoenix]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Phoenix Context triple: [Goodyear, adjacentTo, Phoenix]
-
A.
Phoenix
Phoenix is a wise and loyal elder warrior and mentor in Greek mythology, best known for guiding and advising Achilles during the Trojan War.
-
B.
Phoenix
Phoenix is a historic London theatre located on Drury Lane, known for staging a wide range of plays and musicals.
-
C.
Phoenix
chosen
Phoenix is the capital and largest city of the U.S. state of Arizona, known for its desert climate, rapid growth, and role as a major economic and cultural center in the American Southwest.
-
D.
Phoenix
Phoenix is the mythical bird that cyclically regenerates from its own ashes, symbolizing rebirth and renewal.
-
E.
Phoenix
Phoenix is a residential suburb within the greater Milnerton area of Cape Town, South Africa.
- 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_69e11e45fb848190a1b2ae21296e3a5f |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1572200c88190b9413286136fef15 |
completed | April 29, 2026, 12:56 a.m. |
Created at: April 16, 2026, 8:41 p.m.