Triple
T11520341
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | USS Ludlow (DD-438) |
E273143
|
entity |
| Predicate | pennantNumberInGreekService |
P3153
|
FINISHED |
| Object | D-20 |
—
|
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: D-20 | Statement: [USS Ludlow (DD-438), pennantNumberInGreekService, D-20]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pennantNumberInGreekService Context triple: [USS Ludlow (DD-438), pennantNumberInGreekService, D-20]
-
A.
pennantNumber
chosen
Indicates the identifying pennant number assigned to a ship or naval vessel.
-
B.
hasNameInGreek
Indicates that an entity is associated with a specific representation of its name in the Greek language.
-
C.
hasOfficialNameInGreek
Indicates that an entity has an official or formally recognized name expressed in the Greek language.
-
D.
pennantNumberForFranchise
Indicates the specific pennant (league championship) number associated with a particular sports franchise.
-
E.
usesGreekLetterSystem
Indicates that one entity employs a writing, naming, or notation system based on Greek letters in relation to another entity or context.
- 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_69d6aae2c3748190bed2ea50dfb160dc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d87fd129c88190893b95222480e04a |
completed | April 10, 2026, 4:42 a.m. |
| PD | Predicate disambiguation | batch_69d80876e5f0819088cff2e72f773cf6 |
completed | April 9, 2026, 8:13 p.m. |
Created at: April 8, 2026, 9:36 p.m.