Triple
T5545104
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toomer |
E145386
|
entity |
| Predicate | allegedInjury |
P65298
|
FINISHED |
| Object | discriminatory nonresident shrimping license fees |
—
|
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: discriminatory nonresident shrimping license fees | Statement: [Toomer, allegedInjury, discriminatory nonresident shrimping license fees]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: allegedInjury Context triple: [Toomer, allegedInjury, discriminatory nonresident shrimping license fees]
-
A.
causeOfInjury
Indicates that one entity is the source or reason that another entity sustained an injury.
-
B.
injuredIn
Indicates that an entity sustained an injury as a result of a specified event, situation, or action.
-
C.
injuryType
Indicates the specific kind or category of injury associated with an entity or event.
-
D.
allegedAction
Indicates that an action is claimed or asserted to have occurred, typically without being proven or confirmed.
-
E.
injuriesApprox
Indicates an approximate or estimated number or extent of injuries associated with an event or entity.
- 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_69c008fb879c81909f5bfa56fadc1d46 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01fcc75448190a4c47ded65591345 |
completed | March 22, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69c01b0e72f08190bf705d8fe1639401 |
completed | March 22, 2026, 4:38 p.m. |
| PDg | Predicate description generation | batch_69c01f051e508190b3886d87b4afdd0b |
completed | March 22, 2026, 4:55 p.m. |
Created at: March 22, 2026, 3:35 p.m.