Triple
T3402160
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paros |
E71680
|
entity |
| Predicate | largestTown |
P235
|
FINISHED |
| Object | Parikia |
E356063
|
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: Parikia | Statement: [Paros, largestTown, Parikia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Parikia Context triple: [Paros, largestTown, Parikia]
-
A.
Parikia
chosen
Parikia is the main port town and administrative center of the Greek island of Paros, known for its traditional Cycladic architecture and historic sites.
-
B.
Nusa Kode
Nusa Kode is a small, remote island within Indonesia’s Komodo archipelago, known for its rugged terrain, rich marine life, and populations of Komodo dragons.
-
C.
Bantia
Bantia was an ancient Oscan-speaking city in southern Italy, notable for yielding important inscriptions that illuminate the Oscan language and Italic legal traditions.
-
D.
Sasak
Sasak is an Austronesian language spoken primarily by the Sasak people on the Indonesian island of Lombok.
-
E.
Padang Dinka
Padang Dinka is a major dialect of the Dinka language spoken primarily by the Padang subgroup of the Dinka people in South Sudan.
- 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_69ad85aac4808190a092c9cc8911f584 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb8c96d7c8190a1f9d035996f79e3 |
completed | March 8, 2026, 5:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b35466945c8190b01aa016608415a0 |
completed | March 13, 2026, 12:03 a.m. |
Created at: March 8, 2026, 3:14 p.m.