Triple
T14084170
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Line 3 (Athens Metro) |
E338944
|
entity |
| Predicate | hasNativeName |
P1435
|
FINISHED |
| Object | Γραμμή 3 |
E338944
|
NE FINISHED |
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: Γραμμή 3 | Statement: [Line 3 (Athens Metro), hasNativeName, Γραμμή 3]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Γραμμή 3 Context triple: [Line 3 (Athens Metro), hasNativeName, Γραμμή 3]
-
A.
Γραμμή 2
Γραμμή 2 is one of the main lines of the Athens Metro system, connecting key central and southern districts of Athens.
-
B.
Line 3
chosen
Line 3 is a major Athens Metro route that connects central Athens with key destinations including the Athens International Airport.
-
C.
Line 3
Line 3 is a major rapid transit route of the STC Metro system, serving key districts along its corridor.
-
D.
Line 3
Line 3 is a major line of the Moscow Metro system, known for serving central Moscow and connecting key residential and commercial districts.
-
E.
Line 3
Line 3 is a Culver CityBus route in the Los Angeles area that connects key destinations across Culver City and nearby communities.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d81c687b0c819087fd9ed4198403f8 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5ede40048190b465e909565730c1 |
completed | April 14, 2026, 3:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcb676620481908ed2fa5687a21866 |
completed | May 7, 2026, 3:57 p.m. |
Created at: April 9, 2026, 10:21 p.m.