Triple
T15718208
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pali port |
E381014
|
entity |
| Predicate | nearbySettlement |
P350
|
FINISHED |
| Object | Mandraki |
E381008
|
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: Mandraki | Statement: [Pali port, nearbySettlement, Mandraki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mandraki Context triple: [Pali port, nearbySettlement, Mandraki]
-
A.
Mandraki
Mandraki is the main port town and one of the primary settlements on the Greek island of Hydra, known for its traditional architecture and seaside setting.
-
B.
Mandraki
chosen
Mandraki is the main town and administrative center of the Greek island of Nisyros, known for its traditional architecture and seaside setting.
-
C.
Mawanella
Mawanella is a town in central Sri Lanka known as a key transit point on the Colombo–Kandy road and for its surrounding rubber and tea plantations.
-
D.
Muribeca
Muribeca is a municipality in the Brazilian state of Sergipe, known for its rural character within the semi-arid interior region.
-
E.
Calape
Calape is a barangay (village-level administrative division) within the municipality of Daanbantayan in Cebu, Philippines.
- 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_69d86d9bf930819082b30cf6d169297c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04f932a248190b65ecfb2bc56e715 |
completed | April 16, 2026, 2:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff82f464008190ae0e79f50b9b3eb3 |
completed | May 9, 2026, 6:54 p.m. |
Created at: April 10, 2026, 4:45 a.m.