Triple
T15200984
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Freycinet gauge |
E363265
|
entity |
| Predicate | standardLockChamberWidth_m |
P51574
|
FINISHED |
| Object | 5.2 |
—
|
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: 5.2 | Statement: [Freycinet gauge, standardLockChamberWidth_m, 5.2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: standardLockChamberWidth_m Context triple: [Freycinet gauge, standardLockChamberWidth_m, 5.2]
-
A.
hasChamberWidth
chosen
Indicates that an entity possesses a chamber whose width has a specified value or range.
-
B.
chamberSize
Indicates the relative capacity or dimensions of a chamber in relation to a specified reference or standard.
-
C.
hasChamberLength
Indicates the length measurement of a chamber associated with an entity.
-
D.
typeOfChamber
Indicates the specific kind or category of chamber that an entity belongs to or is classified as.
-
E.
hasChamberSize
Indicates a relationship where an entity is associated with, or characterized by, a specific size of a chamber or internal compartment.
- 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e006b588b88190a88e91d521acbdfe |
completed | April 15, 2026, 9:44 p.m. |
| PD | Predicate disambiguation | batch_69deb97ee9d881908711dbe12a55283c |
completed | April 14, 2026, 10:02 p.m. |
Created at: April 10, 2026, 3:10 a.m.