Triple
T13966774
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kamini |
E335943
|
entity |
| Predicate | nearbySettlement |
P350
|
FINISHED |
| Object | Hydra Town |
E859437
|
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: Hydra Town | Statement: [Kamini, nearbySettlement, Hydra Town]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hydra Town Context triple: [Kamini, nearbySettlement, Hydra Town]
-
A.
Hydra town
chosen
Hydra town is the main settlement and picturesque harbor of the Greek island of Hydra, known for its preserved stone architecture, car-free streets, and role as a popular Saronic Gulf tourist destination.
-
B.
Torrenova
Torrenova is a coastal resort area on the island of Mallorca in Spain, known for its beaches and proximity to the nightlife of Magaluf.
-
C.
Gortys
Gortys is a cheerful, childlike robot from the episodic game Tales from the Borderlands, central to the story’s search for a fabled Vault.
-
D.
Pirathon
Pirathon is an ancient town in the territory of Ephraim mentioned in the Hebrew Bible as the hometown and burial place of the judge Abdon.
-
E.
Moonhaven
Moonhaven is a science fiction television series set in a utopian lunar colony that becomes central to humanity’s survival.
- 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_69d81c61f3508190aaf2ca0dc0002c59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e8c9e988190a84c9ca8a78b515f |
completed | April 14, 2026, 12:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fba1da70588190a6c9a3895d92be5b |
completed | May 6, 2026, 8:17 p.m. |
Created at: April 9, 2026, 10:18 p.m.