Triple
T6975030
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zambia Railways network |
E161694
|
entity |
| Predicate | linksToPort |
P845
|
FINISHED |
| Object | ports in Tanzania via TAZARA connection |
—
|
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: ports in Tanzania via TAZARA connection | Statement: [Zambia Railways network, linksToPort, ports in Tanzania via TAZARA connection]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: linksToPort Context triple: [Zambia Railways network, linksToPort, ports in Tanzania via TAZARA connection]
-
A.
connectionPort
Indicates a specific port through which two components, systems, or devices are connected or can communicate.
-
B.
connectsTo
chosen
Indicates a relationship where one entity is linked or joined to another, allowing interaction, communication, or transfer between them.
-
C.
hasPortOn
Indicates that one entity possesses or is located adjacent to a port situated on another specified geographic or infrastructural feature (such as a coast, river, or lake).
-
D.
hasPortConnection
Indicates that one entity is linked to another via a port or interface through which data, power, or signals can be transmitted.
-
E.
portLocation
Indicates that a port is geographically situated at or associated with a specific location.
- F. None of above.
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_69c68854a0d88190bc0bf82263f1afce |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6db3bda908190a10a91dc8d043ef1 |
completed | March 27, 2026, 7:32 p.m. |
| PD | Predicate disambiguation | batch_69c6d7c262508190a7708b3d9cf23d7c |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:31 p.m.