Triple
T1863651
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Two Tribes |
E34870
|
entity |
| Predicate | labelCatalogNumberUK7inch |
P26507
|
FINISHED |
| Object | ZTAS 3 |
—
|
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: ZTAS 3 | Statement: [Two Tribes, labelCatalogNumberUK7inch, ZTAS 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: labelCatalogNumberUK7inch Context triple: [Two Tribes, labelCatalogNumberUK7inch, ZTAS 3]
-
A.
orderOfWearInUK
Indicates the sequence or priority in which items are worn in the UK context (e.g., clothing or insignia), relative to other items.
-
B.
labelCatalog
chosen
Indicates assigning or associating a descriptive label or identifier with a catalog entity or catalog entry.
-
C.
catalogueRaisonneNumber
Indicates the identifier assigned to a work in a catalogue raisonné, linking it to its authoritative scholarly listing.
-
D.
classificationByUK
Indicates a relationship where an entity is assigned a category, status, or type according to a United Kingdom–specific classification system.
-
E.
heightInCentimetres
Indicates the numerical value of an entity’s height measured in centimetres.
- 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_69a88600b2f88190bc09303e68ab517e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abb16c09e48190a345c95eab59fd87 |
completed | March 7, 2026, 5:02 a.m. |
| PD | Predicate disambiguation | batch_69abafe02c3c819093a4744b476106ca |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:34 p.m.