Triple
T16312063
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paulus Hook, Jersey City |
E396081
|
entity |
| Predicate | settlementTypeHistorical |
P50563
|
FINISHED |
| Object | ferry landing |
—
|
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: ferry landing | Statement: [Paulus Hook, Jersey City, settlementTypeHistorical, ferry landing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: settlementTypeHistorical Context triple: [Paulus Hook, Jersey City, settlementTypeHistorical, ferry landing]
-
A.
hasSettlementHistory
Indicates that an entity has a documented history of human settlement or habitation in relation to another entity (such as a place or time period).
-
B.
previousSettlementType
chosen
Indicates the type or classification of a settlement that existed at a location before the current or present settlement type.
-
C.
settlementType
Indicates the specific kind or category of human settlement an entity represents, such as a city, village, town, or hamlet.
-
D.
historicalType
Indicates that one entity classifies or characterizes another in terms of its role, status, or category within a historical context.
-
E.
typeOfSettlement
Indicates the specific category or classification of a settlement (e.g., city, town, village) that characterizes what kind of settlement it is.
- 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_69d87f23bb088190a16fbb91a1957ea5 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e288dafb608190be35bd60342bb44e |
completed | April 17, 2026, 7:24 p.m. |
| PD | Predicate disambiguation | batch_69e219fa5508819097e9d383348bf174 |
completed | April 17, 2026, 11:31 a.m. |
Created at: April 10, 2026, 5:06 a.m.