Triple
T2767856
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ba'ath Party |
E61377
|
entity |
| Predicate | legalStatusInSyria |
P43037
|
FINISHED |
| Object | dominant ruling party for decades |
—
|
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: dominant ruling party for decades | Statement: [Ba'ath Party, legalStatusInSyria, dominant ruling party for decades]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legalStatusInSyria Context triple: [Ba'ath Party, legalStatusInSyria, dominant ruling party for decades]
-
A.
statusInEgypt
Indicates the legal, social, or official condition or standing that an entity holds specifically within the context of Egypt.
-
B.
readmissionOfSyria
Indicates the action or event of Syria being allowed to rejoin or be reinstated into a group, organization, or body from which it was previously excluded.
-
C.
lostLastTerritoryInSyria
Indicates that the entity ceased to control its final remaining territorial holding within Syria.
-
D.
statusInLibya
Indicates the legal, social, or political condition or standing that an entity holds within the context of Libya.
-
E.
legalStatusAccordingToUkraine
Indicates the legal status or classification of an entity as defined specifically by the laws and regulations of Ukraine.
- 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_69ab4b7bab6c8190a5c2efef19a8ef34 |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abddceb9d88190961e30d521a21552 |
completed | March 7, 2026, 8:11 a.m. |
| PD | Predicate disambiguation | batch_69abdcfc5e1c8190a5ac2c48d3eaeb0a |
completed | March 7, 2026, 8:08 a.m. |
| PDg | Predicate description generation | batch_69abddcc348081908b5f760899389d4f |
completed | March 7, 2026, 8:11 a.m. |
Created at: March 6, 2026, 9:57 p.m.