Triple
T3520199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Octopus (yacht) |
E74402
|
entity |
| Predicate | hasObservationLounge |
P46591
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Octopus (yacht), hasObservationLounge, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasObservationLounge Context triple: [Octopus (yacht), hasObservationLounge, true]
-
A.
hasLoungeType
Indicates that an entity is associated with, or classified by, a particular type or category of lounge.
-
B.
hasObservation
Indicates that an entity records, contains, or is associated with a specific observation or measured instance.
-
C.
hasLoungeProgram
Indicates that an entity operates, offers, or is associated with a specific lounge access program.
-
D.
hasObservationFacility
chosen
Indicates that an entity possesses or is associated with a facility used for observing, monitoring, or collecting data about something.
-
E.
hasObservationSite
Indicates that something (such as a measurement, event, or observation activity) is associated with or took place at a specific observation site or location.
- 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_69ad85d0c5488190a3d8e02ebd01a1aa |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbc4af70c8190a7471f28e1efd7fd |
completed | March 8, 2026, 6:13 p.m. |
| PD | Predicate disambiguation | batch_69adae10689c8190b7dc6d7daa8295b6 |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:19 p.m.