Triple
T21207307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elis region |
E522621
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Pyrgos |
—
|
NE NERFINISHED |
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: Pyrgos | Statement: [Elis region, contains, Pyrgos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pyrgos Context triple: [Elis region, contains, Pyrgos]
-
A.
Pyrgos
chosen
Pyrgos is a town in western Greece that serves as the capital of Elis and a regional hub near the Alfeios River and the archaeological site of Olympia.
-
B.
Pyrgos
Pyrgos is a settlement located within the municipality of Eordaia in the Western Macedonia region of Greece.
-
C.
Pyrgos Kallistis
Pyrgos Kallistis is a traditional hillside village on the Greek island of Santorini, known for its preserved medieval architecture and panoramic views.
-
D.
Pyrgi
Pyrgi is a distinctive medieval village on the Greek island of Chios, renowned for its black-and-white geometric facade decorations and well-preserved traditional architecture.
-
E.
Pyrgi
Pyrgi was an ancient Etruscan port town, notable as a major religious and commercial center on the Tyrrhenian coast of Italy.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b5112d8881909510b2dcdc93106d |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e734362c788190bc1b96d3b84c0ad1 |
completed | April 21, 2026, 8:24 a.m. |
Created at: April 16, 2026, 3:24 p.m.