Triple
T7787642
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Woodbine, New Jersey |
E187286
|
entity |
| Predicate | originalSettlers |
P12156
|
FINISHED |
| Object | Eastern European Jewish immigrants |
—
|
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: Eastern European Jewish immigrants | Statement: [Woodbine, New Jersey, originalSettlers, Eastern European Jewish immigrants]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalSettlers Context triple: [Woodbine, New Jersey, originalSettlers, Eastern European Jewish immigrants]
-
A.
firstPermanentSettler
Indicates that the subject is the earliest individual or group to establish a lasting, continuous residence in the location or entity specified by the object.
-
B.
numberOfInitialSettlers
Indicates the quantity of settlers present at the initial establishment of a settlement or colony.
-
C.
originalSettlement
Indicates that one entity is the initial or first-established settlement location associated with another entity.
-
D.
firstSettlersArrived
chosen
Indicates that the earliest group of settlers reached or came to a particular place or region.
-
E.
numberOfOriginalSettlerFamilies
Indicates the count of distinct families that were part of the initial group of settlers in a given place or community.
- 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_69ca82af2d2c8190963861f5e0b8bf21 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cae7e779ec8190b77296d9c2ac3210 |
completed | March 30, 2026, 9:15 p.m. |
| PD | Predicate disambiguation | batch_69caa488532c819093ac40bba0b3c7ef |
completed | March 30, 2026, 4:27 p.m. |
Created at: March 30, 2026, 4:24 p.m.