Triple
T3844333
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boeotians |
E93531
|
entity |
| Predicate | majorCity |
P316
|
FINISHED |
| Object | Tanagra |
E166454
|
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: Tanagra | Statement: [Boeotians, majorCity, Tanagra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tanagra Context triple: [Boeotians, majorCity, Tanagra]
-
A.
Tanagra
chosen
Tanagra was an ancient Greek city in Boeotia, noted for its strategic location and for the finely crafted terracotta figurines known as Tanagra figurines.
-
B.
Peristeri
Peristeri is a densely populated suburban municipality of Athens, Greece, known as one of the largest and most vibrant districts in the Athens metropolitan area.
-
C.
Aigina
Aigina is the ancient Greek name for the island of Aegina in the Saronic Gulf, known historically as a significant maritime and commercial center.
-
D.
Ascra
Ascra was an ancient village in Boeotia, Greece, best known as the hometown of the poet Hesiod.
-
E.
Argithea
Argithea is a municipality in the mountainous region of Thessaly in central Greece, known for its traditional villages and natural landscapes.
- 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_69aed96ce578819084ab16e3439976c9 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aeebb655c081909ec5ff3d09eb4778 |
completed | March 9, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5040f93948190b104cf1b7db671b7 |
completed | March 14, 2026, 6:45 a.m. |
Created at: March 9, 2026, 3:18 p.m.