Triple
T18427424
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Civil Division (Montgomery County Circuit Court) |
E450175
|
entity |
| Predicate | hasCaseParticipants |
P2434
|
FINISHED |
| Object | attorneys |
—
|
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: attorneys | Statement: [Civil Division (Montgomery County Circuit Court), hasCaseParticipants, attorneys]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCaseParticipants Context triple: [Civil Division (Montgomery County Circuit Court), hasCaseParticipants, attorneys]
-
A.
hasParticipants
chosen
Indicates that an event, activity, or situation involves one or more entities as participants in it.
-
B.
hasWorkingParties
Indicates that an entity maintains or is associated with one or more working parties (task-focused groups or committees) that operate under its authority or within its structure.
-
C.
hasCompanionCase
Indicates that an entity is associated with another related case that accompanies or parallels it.
-
D.
hasFormerParticipant
Indicates that an entity once participated in an activity, event, or organization but is no longer a current participant.
-
E.
hasStudentParticipantsFrom
Indicates that an activity, event, or program includes student participants originating from a specified source, such as an institution, region, or group.
- F. None of above.
Provenance (3 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_69d8d381d6388190a9e94e9c658174e4 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e51b13ee88819091e7e007d17dcc73 |
completed | April 19, 2026, 6:12 p.m. |
| PD | Predicate disambiguation | batch_69e469bf7f74819096a01173493412c2 |
completed | April 19, 2026, 5:35 a.m. |
Created at: April 10, 2026, 11:25 a.m.