Triple
T12124396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pikermi |
E288771
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Pallini |
E288761
|
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: Pallini | Statement: [Pikermi, locatedNear, Pallini]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pallini Context triple: [Pikermi, locatedNear, Pallini]
-
A.
Pallini
chosen
Pallini is a suburban town in the Athens metropolitan area of Greece that serves as an administrative and residential hub in East Attica.
-
B.
Palaonda
Palaonda is an indoor ice arena in Bolzano, Italy, primarily used for ice hockey and other sporting and entertainment events.
-
C.
Pellene
Pellene was an ancient Greek city-state in the northeastern Peloponnese, known as one of the Achaean poleis.
-
D.
Pilla
Pilla is an Italian surname most notably associated with Franca Pilla, the wife of former Italian President Carlo Azeglio Ciampi.
-
E.
Punasa
Punasa is a town in Madhya Pradesh, India, known for its proximity to the major Indira Sagar Dam on the Narmada River.
- 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_69d6ab4b5e4c81909950b17151eb0951 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9157b2a9881908ec0e58cf438fce0 |
completed | April 10, 2026, 3:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f686d6c08190b1f1ca2d5a51f5df |
completed | May 2, 2026, 1:05 p.m. |
Created at: April 8, 2026, 9:49 p.m.