Triple
T37234462
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Granton, Edinburgh |
E923530
|
entity |
| Predicate | harbourOpenedIn |
P26788
|
FINISHED |
| Object | 1830s |
—
|
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: 1830s | Statement: [Granton, Edinburgh, harbourOpenedIn, 1830s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: harbourOpenedIn Context triple: [Granton, Edinburgh, harbourOpenedIn, 1830s]
-
A.
hasHarborOpened
chosen
Indicates that a harbor has been officially opened and is available for use or operation.
-
B.
harbourSystem
Indicates a relationship where one entity serves as a harbor or port system that accommodates, services, or supports another entity (such as ships, goods, or maritime operations).
-
C.
harbourUse
Indicates how a harbour is used or purposed, such as for specific activities, functions, or types of maritime operations.
-
D.
hasHarbor
Indicates that a place possesses or contains a harbor for docking or sheltering vessels.
-
E.
harbourSide
Indicates a location or object that is situated alongside or directly adjacent to a harbour.
- 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_69f76ea9fee88190a589f661d95a7189 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb4134225081909fd60703b8cae397 |
completed | May 6, 2026, 1:25 p.m. |
| PD | Predicate disambiguation | batch_69fb35bf767081908de8345358ca7f44 |
completed | May 6, 2026, 12:36 p.m. |
Created at: May 3, 2026, 4:15 p.m.