Triple
T23349603
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gotham Harbor |
E591967
|
entity |
| Predicate | commonEventType |
P7008
|
FINISHED |
| Object | criminal deals |
—
|
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: criminal deals | Statement: [Gotham Harbor, commonEventType, criminal deals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commonEventType Context triple: [Gotham Harbor, commonEventType, criminal deals]
-
A.
commonIncidentType
Indicates that multiple entities share the same category or type of incident.
-
B.
typicalEvent
chosen
Indicates that the associated event is a common, characteristic, or prototypical occurrence for the given entity or situation.
-
C.
incidentWith
Indicates that one entity is involved in, affected by, or associated with a particular incident or event together with another entity.
-
D.
commonConcept
Indicates that two or more entities share the same underlying idea, notion, or conceptual meaning.
-
E.
commonAction
Indicates that multiple entities participate in or perform the same action or activity.
- 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_69e25d20e3d08190bcede87673cafb25 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f19a132da08190b30de610d34c96cc |
completed | April 29, 2026, 5:41 a.m. |
| PD | Predicate disambiguation | batch_69effcfd8d288190937a887fe6023c11 |
completed | April 28, 2026, 12:19 a.m. |
Created at: April 17, 2026, 5:19 p.m.