Triple
T30057491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Algiers Point–Canal Street ferry |
E763771
|
entity |
| Predicate | connectsHistoricArea |
P72879
|
FINISHED |
| Object | historic Algiers Point neighborhood |
—
|
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: historic Algiers Point neighborhood | Statement: [Algiers Point–Canal Street ferry, connectsHistoricArea, historic Algiers Point neighborhood]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: connectsHistoricArea Context triple: [Algiers Point–Canal Street ferry, connectsHistoricArea, historic Algiers Point neighborhood]
-
A.
connectsArea
Indicates that one area serves as a link or passage between two other areas, enabling movement or interaction between them.
-
B.
connectsToAreaKnownFor
Indicates that something has a direct link or association to a specific area that is recognized or notable for certain characteristics or features.
-
C.
partOfHistoricalArea
Indicates that one entity is located within or belongs to a designated historical area or heritage zone.
-
D.
hasNearbyHistoricArea
chosen
Indicates that one entity is located close to another entity that is designated as a historic area.
-
E.
hasAreaConnections
Indicates that an entity is linked to one or more surrounding or related areas, typically representing spatial or regional connections between them.
- 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_69f224716378819087a722e487832b70 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fde5d7d9548190880a9d95b8f0f66b |
completed | May 8, 2026, 1:32 p.m. |
| PD | Predicate disambiguation | batch_69fde4e1bf9c81909754545275eccc03 |
completed | May 8, 2026, 1:28 p.m. |
Created at: April 29, 2026, 6:56 p.m.