Triple
T18768861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doraleh Container Terminal |
E458960
|
entity |
| Predicate | hasQuayLength |
P82091
|
FINISHED |
| Object | approximately 1,050 metres |
—
|
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: approximately 1,050 metres | Statement: [Doraleh Container Terminal, hasQuayLength, approximately 1,050 metres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasQuayLength Context triple: [Doraleh Container Terminal, hasQuayLength, approximately 1,050 metres]
-
A.
quayLength
chosen
Indicates the length or extent of a quay structure, typically measured along its usable edge.
-
B.
hasBerthLength
Indicates the length of a berth allocated to or associated with an entity.
-
C.
hasPierLength
Indicates that one entity (typically a pier or similar structure) has a specified length measurement.
-
D.
hasShoreLengthOn
Indicates that an entity has a specified length of shoreline along or bordering another geographic feature (such as a body of water or coast).
-
E.
shipLength
Indicates the physical length measurement of a ship.
- 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_69d8d395dba0819087568404508590cb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e58d867264819098ae35c9feab3bb4 |
completed | April 20, 2026, 2:20 a.m. |
| PD | Predicate disambiguation | batch_69e48d0b7b708190877951b6e6cdcbc4 |
completed | April 19, 2026, 8:06 a.m. |
Created at: April 10, 2026, 11:52 a.m.