Triple
T16595600
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Perrhaebia |
E403196
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Phalanna |
E1038139
|
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: Phalanna | Statement: [Perrhaebia, hasCity, Phalanna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Phalanna Context triple: [Perrhaebia, hasCity, Phalanna]
-
A.
Phalanna
chosen
Phalanna was an ancient Greek city located in the region of Pelasgiotis in Thessaly.
-
B.
Phale
Phale is a small village in eastern Nepal’s Taplejung District, situated along the trekking route to Kanchenjunga and inhabited largely by Tibetan-origin communities.
-
C.
Pherusa
Pherusa is a figure from Greek mythology, traditionally counted among the Nereids, the sea nymph daughters of Nereus and Doris.
-
D.
Filiti
Filiti is an Italian surname most notably associated with Tony Filiti, a relative of Sylvester Stallone.
-
E.
Philina
Philina is a lively, flirtatious actress and one of the central theatrical figures in Goethe’s novel "Wilhelm Meister's Apprenticeship."
- 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_69d883880d0c81908b5fcd454e767b60 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e35d717604819083ed60b865bbd13e |
completed | April 18, 2026, 10:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00759fe6ec81908c5321dcba558269 |
completed | May 10, 2026, 12:10 p.m. |
Created at: April 10, 2026, 5:16 a.m.