Triple
T13635275
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Article XX of GATT 1994 |
E325831
|
entity |
| Predicate | textualContinuity |
P111395
|
FINISHED |
| Object | largely identical to Article XX of GATT 1947 |
—
|
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: largely identical to Article XX of GATT 1947 | Statement: [Article XX of GATT 1994, textualContinuity, largely identical to Article XX of GATT 1947]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: textualContinuity Context triple: [Article XX of GATT 1994, textualContinuity, largely identical to Article XX of GATT 1947]
-
A.
cultContinuity
Indicates the continuation or persistence of a religious cult’s practices, beliefs, or traditions over time.
-
B.
textualStructure
Indicates how parts of a text are organized and related to each other within its overall structure.
-
C.
textualUniqueness
Indicates that one text is distinct from others in content or expression, without significant duplication or overlap.
-
D.
textualIssue
Indicates that there is a problem, error, or deficiency in a piece of text or written content.
-
E.
textualTransmission
Indicates the transfer or communication of information through written or printed text from one source to another.
- 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_69d8076beddc8190a53156f5bea77f5e |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc60635d08190899806fe8936f02a |
completed | April 12, 2026, 4:19 p.m. |
| PD | Predicate disambiguation | batch_69dbbe85e1c4819095194f4b7f9f6118 |
completed | April 12, 2026, 3:47 p.m. |
| PDg | Predicate description generation | batch_69dbc6043e148190a2a25f929cfa35e5 |
completed | April 12, 2026, 4:19 p.m. |
Created at: April 9, 2026, 9:51 p.m.