Triple
T20999106
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 36th Avenue |
E517233
|
entity |
| Predicate | stationCode |
P1289
|
FINISHED |
| Object | R09 |
—
|
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: R09 | Statement: [36th Avenue, stationCode, R09]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: R09 Context triple: [36th Avenue, stationCode, R09]
-
A.
R09
chosen
R09 is the station code assigned to the 36th Avenue subway station in the New York City Transit system.
-
B.
R08
R08 is the pennant number of HMS Queen Elizabeth, the lead ship of the Royal Navy’s Queen Elizabeth-class aircraft carriers and one of the largest warships ever built for the United Kingdom.
-
C.
R99
R99 is a designation commonly used to refer to the 99th iteration or version of a software, standard, or product release.
-
D.
R-9
R-9 is a Soviet-era intercontinental ballistic missile developed during the Cold War for long-range nuclear delivery.
-
E.
R02
R02 is the station code for Xiangshan MRT Station, a metro stop on Taipei's Tamsui–Xinyi (Red) Line.
- 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_69e0b5006e2881909fc2383f841740cc |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc2395108190871e173354e4ef6f |
completed | April 21, 2026, 4:25 a.m. |
Created at: April 16, 2026, 1:51 p.m.