Triple
T565589
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Echo Stoa |
E13544
|
entity |
| Predicate | hasAcousticEffect |
P9532
|
FINISHED |
| Object | multiple audible echoes of spoken sound |
—
|
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: multiple audible echoes of spoken sound | Statement: [Echo Stoa, hasAcousticEffect, multiple audible echoes of spoken sound]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAcousticEffect Context triple: [Echo Stoa, hasAcousticEffect, multiple audible echoes of spoken sound]
-
A.
hasPartialSound
Indicates that one entity’s sound is included as a component or segment within the sound of another entity.
-
B.
acousticProperty
chosen
Indicates the relationship between an entity and its sound-related characteristics, such as loudness, pitch, timbre, or other acoustic features.
-
C.
usesInstrument
Indicates that an agent performs an action by employing a specific instrument or tool as the means to carry it out.
-
D.
soundReproductionMethod
Indicates the method or technique used to reproduce or play back sound.
-
E.
hasBells
Indicates that an entity possesses or is equipped with one or more bells.
- 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_69a4933edcf08190b35ecfd6014caee6 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49a74793481908fee3baff0b1d348 |
completed | March 1, 2026, 7:58 p.m. |
| PD | Predicate disambiguation | batch_69a494c044648190a98589ab18935216 |
completed | March 1, 2026, 7:34 p.m. |
Created at: March 1, 2026, 7:32 p.m.