Triple
T2110116
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flight 93 National Memorial |
E42481
|
entity |
| Predicate | hasChimes |
P34829
|
FINISHED |
| Object | 40 wind chimes in Tower of Voices |
—
|
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: 40 wind chimes in Tower of Voices | Statement: [Flight 93 National Memorial, hasChimes, 40 wind chimes in Tower of Voices]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasChimes Context triple: [Flight 93 National Memorial, hasChimes, 40 wind chimes in Tower of Voices]
-
A.
chimes
Indicates that one entity produces a clear, resonant ringing sound, often as a signal or in response to a particular time or event.
-
B.
hasBells
Indicates that an entity possesses or is equipped with one or more bells.
-
C.
addedBells
Indicates that one entity has caused bells to be included or incorporated into another entity or context.
-
D.
numberOfBells
Indicates the quantity of bells associated with or present in a given entity or context.
-
E.
hasEmergencyIntercoms
Indicates that an entity is equipped with emergency intercom devices available for use in urgent or crisis situations.
- F. None of above. chosen
Provenance (4 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_69a8871040f08190aac2e2d0ab6b47ad |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abbae1bacc8190beffc9d0470e9190 |
completed | March 7, 2026, 5:42 a.m. |
| PD | Predicate disambiguation | batch_69abb7ba08948190a3c236bb53ee4257 |
completed | March 7, 2026, 5:29 a.m. |
| PDg | Predicate description generation | batch_69abb85fe7a08190b991b1f23bc34f93 |
completed | March 7, 2026, 5:32 a.m. |
Created at: March 4, 2026, 7:43 p.m.