Triple
T3013415
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Agreement on Textiles and Clothing |
E82275
|
entity |
| Predicate | legalStatusAfter2005 |
P45001
|
FINISHED |
| Object | expired |
—
|
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: expired | Statement: [Agreement on Textiles and Clothing, legalStatusAfter2005, expired]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legalStatusAfter2005 Context triple: [Agreement on Textiles and Clothing, legalStatusAfter2005, expired]
-
A.
legalStatusAfter2009
Indicates the legal status or condition that an entity holds from the year 2009 onward, typically reflecting changes due to laws or regulations taking effect at or after that time.
-
B.
legalStatusAfter1983
Indicates the legal status or classification that an entity holds starting from the year 1983 onward.
-
C.
legalStatusAfter2013
Indicates the legal status or condition of an entity as it applies from the year 2013 onward.
-
D.
legalStatusAfter1707
Indicates the legal status or condition of an entity as it existed following the year 1707, typically in relation to changes in law or jurisdiction after that date.
-
E.
legalStatusModern
Indicates the current legal standing or classification of an entity under contemporary law or regulatory frameworks.
- 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_69ad8b1eb53481908c39bbcd1ec104b2 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9a6883c081909b6b74f078e347b7 |
completed | March 8, 2026, 3:48 p.m. |
| PD | Predicate disambiguation | batch_69ad961a97188190809dc73430a8eda8 |
completed | March 8, 2026, 3:30 p.m. |
| PDg | Predicate description generation | batch_69ad97ba55dc8190b6dddddfb751cf64 |
completed | March 8, 2026, 3:37 p.m. |
Created at: March 8, 2026, 3 p.m.