Triple
T36348185
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wings of the Homeland |
E895121
|
entity |
| Predicate | hasLastWord |
P119603
|
FINISHED |
| Object | Homeland |
—
|
NE NERFINISHED |
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: Homeland | Statement: [Wings of the Homeland, hasLastWord, Homeland]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLastWord Context triple: [Wings of the Homeland, hasLastWord, Homeland]
-
A.
lastWordsTo
Indicates that one entity spoke their final words or message directed specifically to another entity.
-
B.
hasEnd
Indicates that one entity serves as the terminal point, boundary, or conclusion of another entity or process.
-
C.
wasLast
Indicates that one entity occurred or appeared after all others in a sequence, making it the final item or event.
-
D.
hasFinalSyllable
chosen
Indicates that one entity possesses or ends with a specific final syllable represented by the other entity.
-
E.
lastWords
Indicates the final words spoken or written by an entity (typically a person) before their death or the end of a significant event.
- 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_69f76e4f437c8190a1af3ea2564f41f5 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69ffacdf9f5c8190baef0245edfe87fc |
completed | May 9, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69ffac5e86e08190a1e6da0840a237ad |
completed | May 9, 2026, 9:51 p.m. |
Created at: May 3, 2026, 4:09 p.m.