Triple
T13928953
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carmelit Company Ltd. |
E334935
|
entity |
| Predicate | transportNetworkPartOf |
P112324
|
FINISHED |
| Object | public transport network of Haifa |
—
|
LITERAL 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: public transport network of Haifa | Statement: [Carmelit Company Ltd., transportNetworkPartOf, public transport network of Haifa]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: transportNetworkPartOf Context triple: [Carmelit Company Ltd., transportNetworkPartOf, public transport network of Haifa]
-
A.
transportNetwork
Indicates a relationship where infrastructure or services enable the movement of people or goods between different locations.
-
B.
roadNetworkPartOf
Indicates that one road network segment or component is a constituent part of a larger road network.
-
C.
shareTransportInfrastructure
Indicates that multiple entities make joint use of the same transport infrastructure facilities or systems.
-
D.
transportCorridor
Indicates a route or pathway used to move people, goods, or resources between locations.
-
E.
isPublicTransportBackboneOf
Indicates that one transport system serves as the primary structural and functional core of a region’s overall public transportation network.
- F. None of above. chosen
Provenance (4 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. |
| PD | Predicate disambiguation | batch_69de059e4ba881908554f72e889719fa |
completed | April 14, 2026, 9:15 a.m. |
| PDg | Predicate description generation | batch_69de239524688190a0f2408c239cfcaa |
completed | April 14, 2026, 11:23 a.m. |
Created at: April 9, 2026, 10:16 p.m.