Triple
T3902117
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frederick Philipse II |
E90517
|
entity |
| Predicate | engaged in |
P1256
|
FINISHED |
| Object | land leasing |
—
|
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: land leasing | Statement: [Frederick Philipse II, engaged in, land leasing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: engaged in Context triple: [Frederick Philipse II, engaged in, land leasing]
-
A.
engaged
Indicates that two entities are formally committed to enter into a marriage or long-term partnership with each other.
-
B.
engagedBy
Indicates that an entity is actively involved, occupied, or participating in an activity, process, or interaction initiated or provided by another entity.
-
C.
engagedTo
Indicates that two entities are formally committed to marry each other.
-
D.
involves
chosen
Indicates that an entity participates in, is a part of, or is implicated within a particular event, process, or relationship.
-
E.
mayEngageIn
Indicates that one entity is permitted or authorized to participate in or perform a particular activity or interaction with another entity.
- 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_69aed95d315881908cbf1bf4a7215fbf |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef1abe2dc81909c18aeae9b286898 |
completed | March 9, 2026, 4:13 p.m. |
| PD | Predicate disambiguation | batch_69aee75cff148190b6d5979d17fae085 |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:21 p.m.