Triple
T18497755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | APAS-89 |
E451991
|
entity |
| Predicate | hasDockingType |
P131905
|
FINISHED |
| Object | androgynous |
—
|
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: androgynous | Statement: [APAS-89, hasDockingType, androgynous]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDockingType Context triple: [APAS-89, hasDockingType, androgynous]
-
A.
hasDockType
Indicates the specific type or category of dock associated with an entity.
-
B.
canSupportManualDocking
Indicates that one entity is capable of supporting or enabling manual docking operations with another entity.
-
C.
dockingSystem
Indicates a relationship where one structure or vehicle is equipped with or connected to a system that enables secure docking with another compatible structure or vehicle.
-
D.
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.
-
E.
docking
Indicates the action of one vehicle or structure aligning and securely connecting to another for transfer, access, or support.
- F. None of above. chosen
Provenance (4 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_69d8d3855d50819097fc8561b0299dd9 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e532c15dec8190941e7c7a4cdebb66 |
completed | April 19, 2026, 7:53 p.m. |
| PD | Predicate disambiguation | batch_69e469dbf5208190b6fc49e02a087f54 |
completed | April 19, 2026, 5:36 a.m. |
| PDg | Predicate description generation | batch_69e46d2b93bc8190a6070018d7046547 |
completed | April 19, 2026, 5:50 a.m. |
Created at: April 10, 2026, 11:36 a.m.