Triple
T9284229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Earthshot Prize |
E223143
|
entity |
| Predicate | hasPartner |
P1136
|
FINISHED |
| Object | DP World |
E122539
|
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: DP World | Statement: [The Earthshot Prize, hasPartner, DP World]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DP World Context triple: [The Earthshot Prize, hasPartner, DP World]
-
A.
DP World
chosen
DP World is a Dubai-based global logistics and port operator that manages ports, economic zones, and supply chain services across numerous countries.
-
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.
AD Ports Group
AD Ports Group is a leading United Arab Emirates–based ports, logistics, and maritime services company that develops and operates key trade and industrial hubs across the region.
-
D.
Corporación Quiport
Corporación Quiport is a private consortium responsible for managing and developing airport services and infrastructure in Quito, Ecuador.
-
E.
APM Terminals
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.
- 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_69ca842123588190b3f2e1a69037d141 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd081e72988190917f425e64631837 |
completed | April 1, 2026, 11:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0b21d8f1081909b2493151fde4a5f |
completed | April 4, 2026, 6:39 a.m. |
Created at: March 30, 2026, 7:34 p.m.