Triple
T19008199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gare de Javel |
E465146
|
entity |
| Predicate | stationCode |
P1289
|
FINISHED |
| Object | JAV |
—
|
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: JAV | Statement: [Gare de Javel, stationCode, JAV]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: JAV Context triple: [Gare de Javel, stationCode, JAV]
-
A.
JAV
chosen
JAV is the station code for Gare de Javel, a Paris RER commuter rail station in the 15th arrondissement.
-
B.
Javakade
Javakade is a waterfront street on Amsterdam’s Java Island known for its modern residential architecture and harborside views.
-
C.
Javo
Javo is a character from the game Monkey Grip, likely depicted as a distinctive figure within its cast.
-
D.
JYV
JYV is the IATA airport code for Jyväskylä Airport, a regional airport serving the city of Jyväskylä in central Finland.
-
E.
JU
JU is the commonly used abbreviation for Jiwaji University, a public university located in Gwalior, Madhya Pradesh, India.
- 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_69d8dd025c188190a1d81f5b4ec7e2c6 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d6a623c481908d22c9bfad9e2939 |
completed | April 20, 2026, 7:32 a.m. |
Created at: April 10, 2026, 12:01 p.m.