Triple
T9803595
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thera |
E237899
|
entity |
| Predicate | hasMajorSettlement |
P316
|
FINISHED |
| Object | Fira |
E820972
|
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: Fira | Statement: [Thera, hasMajorSettlement, Fira]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fira Context triple: [Thera, hasMajorSettlement, Fira]
-
A.
Fira
chosen
Fira is a picturesque town on the Greek island of Santorini, known for its whitewashed buildings, cliffside views over the caldera, and vibrant tourism scene.
-
B.
Firiplaka
Firiplaka is a scenic, volcanic-sand beach on the Greek island of Milos, known for its colorful cliffs and clear turquoise waters.
-
C.
Freisa
Freisa is a red Italian wine grape variety from the Piedmont region, known for producing tannic, often slightly sparkling wines with vibrant acidity and red berry aromas.
-
D.
Fideuram
Fideuram is a prominent Italian private banking and wealth management institution operating within the Intesa Sanpaolo banking group.
-
E.
Fasa
Fasa is a city in Iran’s Fars Province known as a regional agricultural and commercial center with historical significance.
- 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_69ca84dd4608819097ff4ed00feca280 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdab78832481909b184b21a8a46e50 |
completed | April 1, 2026, 11:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1cc53c3dc819084a4d8b72164a172 |
completed | April 5, 2026, 2:43 a.m. |
Created at: March 30, 2026, 8:29 p.m.