Triple
T7033362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FLAC |
E163320
|
entity |
| Predicate | hasMagicNumber |
P74592
|
FINISHED |
| Object | fLaC |
—
|
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: fLaC | Statement: [FLAC, hasMagicNumber, fLaC]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMagicNumber Context triple: [FLAC, hasMagicNumber, fLaC]
-
A.
hasFileFormat
Indicates that one entity (typically a digital file or resource) is encoded, stored, or represented using a specific file format defined by the other entity.
-
B.
hasVersionNumber
Indicates that an entity is associated with a specific version identifier or number.
-
C.
hasSignatureBit
Indicates that an entity possesses a specific bit or flag used to represent a signature or signed status in a data structure or encoding.
-
D.
hasDataFile
Indicates that an entity is associated with or linked to a specific data file that stores its related information.
-
E.
hasCanonicalNumber
Indicates that an entity is associated with its officially recognized or standard reference number.
- 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_69c6885d691c81908cf7d31083113886 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e458ad9c81908c3f492b317ce291 |
completed | March 27, 2026, 8:11 p.m. |
| PD | Predicate disambiguation | batch_69c6e1b9a2488190aea351d96afa5a12 |
completed | March 27, 2026, 7:59 p.m. |
| PDg | Predicate description generation | batch_69c6e456e89481908df42a1b4232a4a0 |
completed | March 27, 2026, 8:11 p.m. |
Created at: March 27, 2026, 2:36 p.m.