Triple
T28645238
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pier 86 |
E725033
|
entity |
| Predicate | hasDockedVessel |
P14974
|
FINISHED |
| Object | USS Intrepid (CV-11) |
—
|
NE NERFINISHED |
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: USS Intrepid (CV-11) | Statement: [Pier 86, hasDockedVessel, USS Intrepid (CV-11)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDockedVessel Context triple: [Pier 86, hasDockedVessel, USS Intrepid (CV-11)]
-
A.
hasVessel
Indicates that one entity possesses, uses, or is associated with a particular vessel (such as a container, ship, or transport medium) in the context of the described relationship or action.
-
B.
hasDryDock
Indicates that one entity possesses, contains, or is equipped with a dry dock facility used for servicing or repairing vessels out of the water.
-
C.
berthingOrDockingTarget
chosen
Indicates that an entity serves as the location or structure where a vessel or vehicle is intended to berth or dock.
-
D.
namedVesselOf
Indicates that one entity is the specific named vessel (e.g., ship, boat, or craft) associated with or belonging to another entity.
-
E.
mooredAt
Indicates that one object, typically a vessel or floating structure, is secured or anchored at a specific location or facility.
- 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_69f01d8423888190bd2f4e52605bf261 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f68f670b608190a0b6ab60d722b4e0 |
completed | May 2, 2026, 11:57 p.m. |
| PD | Predicate disambiguation | batch_69f68b78f29481908cc8f390496dee97 |
completed | May 2, 2026, 11:40 p.m. |
Created at: April 28, 2026, 4:47 a.m.