Triple
T7268711
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | USS Helena |
E161044
|
entity |
| Predicate | earned |
P1518
|
FINISHED |
| Object | battle stars for World War II service |
—
|
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: battle stars for World War II service | Statement: [USS Helena, earned, battle stars for World War II service]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: earned Context triple: [USS Helena, earned, battle stars for World War II service]
-
A.
earnOn
Indicates that one entity gains income, profit, or returns as a result of another entity or activity.
-
B.
gainedFrom
Indicates that something is obtained, acquired, or derived as a result of a specified source or cause.
-
C.
gainedBy
Indicates that something comes to possess, obtain, or receive something else as a result of an action, process, or event.
-
D.
achieved
chosen
Indicates that an entity successfully reached, obtained, or accomplished a specified goal, result, or state.
-
E.
committed
Indicates that an agent has carried out or been responsible for a specific act, event, or wrongdoing.
- 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_69c6885181008190b419040e22939c7c |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6eb088dac8190b353f6ea3d686025 |
completed | March 27, 2026, 8:39 p.m. |
| PD | Predicate disambiguation | batch_69c6e76876608190ac4652bc7153302e |
completed | March 27, 2026, 8:24 p.m. |
Created at: March 27, 2026, 2:58 p.m.