Triple
T2768132
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iraqi Special Tribunal |
E61384
|
entity |
| Predicate | hasDefendants |
P43041
|
FINISHED |
| Object | senior Ba'ath Party officials |
—
|
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: senior Ba'ath Party officials | Statement: [Iraqi Special Tribunal, hasDefendants, senior Ba'ath Party officials]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDefendants Context triple: [Iraqi Special Tribunal, hasDefendants, senior Ba'ath Party officials]
-
A.
defendantCount
Indicates the number of defendants involved in a particular legal case or proceeding.
-
B.
hasDefenseCounsel
Indicates that a person or party is represented or assisted by a defense attorney or legal counsel in a legal matter.
-
C.
hasCourts
Indicates that an entity possesses, contains, or is equipped with one or more courts (e.g., legal, sports, or judicial facilities).
-
D.
typicalDefendants
Indicates that the referenced entities are the ones most commonly or characteristically serving as defendants in the relevant legal context.
-
E.
hasTribunal
Indicates that an entity is associated with or subject to a specific tribunal, such as a court or adjudicative body, that has authority over its cases or matters.
- 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_69abdcfed608819080988e93df7bdf7c |
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.