Triple
T2580958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sir John Parker |
E57087
|
entity |
| Predicate | employer |
P7
|
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: [Sir John Parker, employer, DP World]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DP World Context triple: [Sir John Parker, employer, 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.
Corporación Quiport
Corporación Quiport is a private consortium responsible for managing and developing airport services and infrastructure in Quito, Ecuador.
-
C.
Shanghai International Port Group
Shanghai International Port Group is a major Chinese state-owned enterprise that operates and manages the Port of Shanghai, one of the world’s busiest container ports.
-
D.
Red Sea Ports Authority
The Red Sea Ports Authority is an Egyptian governmental body responsible for managing and operating key maritime ports along the Red Sea coast.
-
E.
Saudi Ports Authority
The Saudi Ports Authority is the government agency responsible for overseeing, regulating, and developing Saudi Arabia’s commercial seaports and maritime infrastructure.
- 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_69ab4a4dca6481908c301f8e317396e7 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd3c6da888190ba7abfe37d182602 |
completed | March 7, 2026, 7:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af6579bab88190891c23721eaccfc8 |
completed | March 10, 2026, 12:27 a.m. |
Created at: March 6, 2026, 9:49 p.m.