Triple
T19150359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southern Province |
E468787
|
entity |
| Predicate | hasPort |
P35
|
FINISHED |
| Object | Galle Harbour |
—
|
NE NERFINISHED |
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: Galle Harbour | Statement: [Southern Province, hasPort, Galle Harbour]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Galle Harbour Context triple: [Southern Province, hasPort, Galle Harbour]
-
A.
Colombo Harbour
Colombo Harbour is the main port of Colombo, Sri Lanka, serving as a major commercial and maritime hub in the Indian Ocean.
-
B.
Port of Galle
chosen
The Port of Galle is a historic natural harbor and regional maritime hub on Sri Lanka’s southern coast, long significant for trade and navigation in the Indian Ocean.
-
C.
Hikkaduwa
Hikkaduwa is a coastal town in southern Sri Lanka known for its beaches, coral reefs, and surf culture.
-
D.
Weligama
Weligama is a coastal town in southern Sri Lanka known for its scenic bay, surfing spots, and traditional stilt fishing.
-
E.
Seethawaka
Seethawaka is a historically significant town and administrative area in Sri Lanka’s Western Province, known for its role in the 16th-century Seethawaka kingdom and its lush, hilly landscape.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dd084ff48190ac0f8c46ee722629 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e97cfaa08190b7085d28fe970108 |
completed | April 20, 2026, 8:53 a.m. |
Created at: April 10, 2026, 12:06 p.m.