Triple
T6118083
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Inhambane Province |
E136410
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object | Vilankulo |
E353181
|
NE 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: Vilankulo | Statement: [Inhambane Province, hasTown, Vilankulo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vilankulo Context triple: [Inhambane Province, hasTown, Vilankulo]
-
A.
Vilankulo
chosen
Vilankulo is a coastal town in southern Mozambique known as the main gateway to the nearby Bazaruto Archipelago and its popular beach and marine tourism.
-
B.
Unawatuna
Unawatuna is a popular coastal town in southern Sri Lanka known for its palm-fringed beach, coral-rich bay, and laid-back tourist atmosphere.
-
C.
Hulhumalé
Hulhumalé is a reclaimed island and planned urban development in the Maldives, created to expand housing and infrastructure near the capital, Malé.
-
D.
Pemba
Pemba is a historically significant coastal city on the Swahili Coast, known as a regional hub of trade and Swahili culture along the Indian Ocean.
-
E.
Negombo
Negombo is a coastal city in western Sri Lanka known historically as a strategic colonial port and today for its fishing industry and beach tourism.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c0089f851c81909e5e189a617dcff6 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05bec9b8c8190b3268b0ba952aae6 |
completed | March 22, 2026, 9:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1256ddb38819095f582b6468db407 |
completed | March 23, 2026, 11:35 a.m. |
Created at: March 22, 2026, 4:14 p.m.