Triple
T15519620
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Winthrop Fleet |
E368924
|
entity |
| Predicate | languageOfPassengers |
P92545
|
FINISHED |
| Object | English |
—
|
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: English | Statement: [Winthrop Fleet, languageOfPassengers, English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfPassengers Context triple: [Winthrop Fleet, languageOfPassengers, English]
-
A.
airlinePrimaryLanguage
Indicates the main language used by an airline for its official communication and operations.
-
B.
languageGroupSpoken
chosen
Indicates that a particular language group is spoken or used for communication by an entity.
-
C.
languageOfCountryOfCitizenship
Indicates the language associated with the country where an entity holds citizenship.
-
D.
languageOfExpression
Indicates that a particular language is used as the medium or form in which an expression (such as a text, utterance, or work) is realized.
-
E.
includesLanguagesSpokenAlong
Indicates that something (such as a region, route, or area) encompasses or contains the set of languages spoken along its extent or within its boundaries.
- 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_69d85a1794cc8190b0b428716296e63e |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e040343d9c8190a7d1f197c108bd9d |
completed | April 16, 2026, 1:49 a.m. |
| PD | Predicate disambiguation | batch_69ded2896a9c8190a8b9627deb3c17b4 |
completed | April 14, 2026, 11:49 p.m. |
Created at: April 10, 2026, 4:04 a.m.