Triple
T13929118
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gan HaEm |
E334940
|
entity |
| Predicate | hasTransportationConnection |
P1298
|
FINISHED |
| Object | Carmelit subway |
E1069822
|
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: Carmelit subway | Statement: [Gan HaEm, hasTransportationConnection, Carmelit subway]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carmelit subway Context triple: [Gan HaEm, hasTransportationConnection, Carmelit subway]
-
A.
Carmelit line
chosen
The Carmelit line is a short underground funicular railway in Haifa, Israel, connecting several central city locations via a steep hillside route.
-
B.
SORTA Metro
SORTA Metro is the primary public bus transit system serving Cincinnati and its surrounding Hamilton County region.
-
C.
Tramvia Metropolità
Tramvia Metropolità is a metropolitan tram system serving parts of the Barcelona area, providing urban and suburban light rail transport.
-
D.
Subte
Subte is the rapid transit metro system serving Buenos Aires, Argentina, and one of the oldest underground rail networks in Latin America.
-
E.
Minimetrò
Minimetrò is an automated, cable-driven people mover system that serves as a key component of Perugia’s urban public transportation network.
- 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_69d81c5f739081908bc05b2461f54828 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2aa900a0819095eeb1bc46b0336e |
completed | April 14, 2026, 11:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbac880f50819080011aef63f48dc8 |
completed | May 6, 2026, 9:03 p.m. |
Created at: April 9, 2026, 10:16 p.m.