Triple
T8420140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Port of Tanjung Pelepas |
E198827
|
entity |
| Predicate | owner |
P347
|
FINISHED |
| Object | APM Terminals |
E360816
|
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: APM Terminals | Statement: [Port of Tanjung Pelepas, owner, APM Terminals]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: APM Terminals Context triple: [Port of Tanjung Pelepas, owner, APM Terminals]
-
A.
APM Terminals
chosen
APM Terminals is a global port and terminal operating company within the A.P. Moller–Maersk Group, managing a worldwide network of container terminals and related logistics services.
-
B.
Hutchison Ports
Hutchison Ports is a global port operator and logistics company that manages a network of container terminals and related facilities across multiple continents.
-
C.
DP World
DP World is a Dubai-based global logistics and port operator that manages ports, economic zones, and supply chain services across numerous countries.
-
D.
Corporación Quiport
Corporación Quiport is a private consortium responsible for managing and developing airport services and infrastructure in Quito, Ecuador.
-
E.
Aomi Container Terminal
Aomi Container Terminal is a key modern container-handling facility within Tokyo’s port, serving as a major hub for international maritime cargo.
- 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_69ca8312d63c8190bf133b676b44a385 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cb84c941988190884a5c0cbb44bcc2 |
completed | March 31, 2026, 8:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce03476b288190b3df8f9f4d502ea8 |
completed | April 2, 2026, 5:48 a.m. |
Created at: March 30, 2026, 6:06 p.m.