Triple
T4381173
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Port Hercules |
E99131
|
entity |
| Predicate | hasBerthCount |
P31355
|
FINISHED |
| Object | around 700 berths |
—
|
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: around 700 berths | Statement: [Port Hercules, hasBerthCount, around 700 berths]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBerthCount Context triple: [Port Hercules, hasBerthCount, around 700 berths]
-
A.
hasBerths
Indicates that one entity provides or contains sleeping or docking berths for another entity.
-
B.
berthType
Indicates the specific kind or category of berth associated with an entity, such as the type of sleeping or docking space provided.
-
C.
hasBerthDepth
Indicates the depth of water available at a specific berth where a vessel can be moored.
-
D.
determinedBerthIn
Indicates that an entity has been assigned or allocated to a specific berth or docking position.
-
E.
hasNumberOfFerrySlips
chosen
Indicates the specific count of ferry slips associated with or available at a given entity.
- 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_69b3454ea8f48190a49c2436624d6ef6 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35243036481909fb0a001c3cb1ff2 |
completed | March 12, 2026, 11:54 p.m. |
| PD | Predicate disambiguation | batch_69b34f557fe8819085032bf7f0cea5dc |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:18 p.m.