Triple
T3782015
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fort Pontchartrain du Détroit |
E85439
|
entity |
| Predicate | hasSettlementAround |
P51472
|
FINISHED |
| Object | French colonial settlement at Detroit |
—
|
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: French colonial settlement at Detroit | Statement: [Fort Pontchartrain du Détroit, hasSettlementAround, French colonial settlement at Detroit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSettlementAround Context triple: [Fort Pontchartrain du Détroit, hasSettlementAround, French colonial settlement at Detroit]
-
A.
hasSettlementOnUSSide
Indicates that a settlement is located on the United States side of a border or boundary.
-
B.
hasSettlementContinuitySince
Indicates that a settlement has existed continuously at a location since a specified point in time.
-
C.
possibleSettlementAt
Indicates that a settlement could potentially be established or located at a given place or site.
-
D.
settlementState
Indicates the state or status of a settlement process or transaction at a given point in time.
-
E.
settlementWith
Indicates a relationship where one party reaches or maintains a settlement or agreement with another party, typically resolving a dispute or claim.
- F. None of above. chosen
Provenance (4 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_69aed937fa8881908208ef3801060826 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aee634c6ac819099653c660c286746 |
completed | March 9, 2026, 3:24 p.m. |
| PD | Predicate disambiguation | batch_69aee3d3c92c819081d9d5c45ef37a5d |
completed | March 9, 2026, 3:14 p.m. |
| PDg | Predicate description generation | batch_69aee633dab88190b14cec8afb19ca6a |
completed | March 9, 2026, 3:24 p.m. |
Created at: March 9, 2026, 3:13 p.m.