Triple
T26448541
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boilermaker Special |
E665276
|
entity |
| Predicate | hasMiniatureVersion |
P106178
|
FINISHED |
| Object | X-tra Special |
—
|
NE NERFINISHED |
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: X-tra Special | Statement: [Boilermaker Special, hasMiniatureVersion, X-tra Special]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMiniatureVersion Context triple: [Boilermaker Special, hasMiniatureVersion, X-tra Special]
-
A.
hasMiniature
chosen
Indicates that one entity possesses or includes a smaller-scale representation or model of another entity.
-
B.
hasApproximateNumberOfMiniatures
Indicates that an entity is associated with an estimated or non-exact count of miniatures.
-
C.
hasSmallerVersion
Indicates that one entity exists as a reduced-size or smaller-scale version of another entity.
-
D.
hasOfficialShortVersion
Indicates that an entity has an officially recognized abbreviated or shortened form.
-
E.
hasFullLengthVersion
Indicates that an entity has a corresponding complete or unabridged version of itself or its content.
- 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_69ee883d5040819097dd154643005230 |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f67c9fe7b48190b79b4041357edb49 |
completed | May 2, 2026, 10:37 p.m. |
| PD | Predicate disambiguation | batch_69f678cc272081909e5c70f1bc7407f0 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 27, 2026, 12:03 a.m.