Triple
T17078400
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Angel Soft 2‑ply toilet paper |
E414408
|
entity |
| Predicate | hasPlyCount |
P125784
|
FINISHED |
| Object | 2-ply |
—
|
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: 2-ply | Statement: [Angel Soft 2‑ply toilet paper, hasPlyCount, 2-ply]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPlyCount Context triple: [Angel Soft 2‑ply toilet paper, hasPlyCount, 2-ply]
-
A.
hasPylonCount
Indicates the relationship specifying how many pylons are associated with or present in a given entity.
-
B.
hasHoleCount
Indicates that an entity possesses a specified number of holes.
-
C.
numberOfKnownPlays
Indicates the total count of plays that are known to be associated with a given entity (such as an author, theater, or period).
-
D.
numberOfPieces
Indicates the quantity of discrete parts or units into which something is divided or composed.
-
E.
hasPlayerCount
Indicates the number of players associated with or participating in a given entity or activity.
- 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_69d886cef44c8190ba56c44b4e863e64 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dbe0e9cc8190b6c4b6065b474d1d |
completed | April 18, 2026, 7:30 p.m. |
| PD | Predicate disambiguation | batch_69e35d642f74819098c014135e249b27 |
completed | April 18, 2026, 10:31 a.m. |
| PDg | Predicate description generation | batch_69e3753f93c88190808fec5692f66699 |
completed | April 18, 2026, 12:12 p.m. |
Created at: April 10, 2026, 5:34 a.m.