Triple
T8716265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Panamax |
E206900
|
entity |
| Predicate | followedBy |
P78
|
FINISHED |
| Object | Neopanamax |
E41164
|
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: Neopanamax | Statement: [Panamax, followedBy, Neopanamax]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Neopanamax Context triple: [Panamax, followedBy, Neopanamax]
-
A.
Neopanamax
chosen
Neopanamax is a class of large cargo ships specifically designed to fit the expanded locks of the Panama Canal, allowing greater capacity than the earlier Panamax standard.
-
B.
Suezmax
Suezmax is a standard size category for large oil tankers optimized to carry the maximum possible cargo through the Suez Canal.
-
C.
Panamax
Panamax is the maximum size limit for ships that can transit the original locks of the Panama Canal, defining a key standard in global maritime shipping.
-
D.
Aframax
Aframax is a class of medium-sized crude oil tanker, typically between 80,000 and 120,000 deadweight tons, optimized for efficient transport on routes and in ports that cannot accommodate larger vessels.
-
E.
Gulftainer
Gulftainer is a global port management and logistics company based in the United Arab Emirates, known for operating and developing container terminals and cargo facilities worldwide.
- 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_69ca83572d4881909bef3be2b578d539 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5cd9c2a08190a65ab0ce573153d2 |
completed | March 31, 2026, 11:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf42998df88190a6eba28c2efb2030 |
completed | April 3, 2026, 4:31 a.m. |
Created at: March 30, 2026, 6:35 p.m.