Triple
T5704970
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Krk Island |
E125760
|
entity |
| Predicate | hasPort |
P35
|
FINISHED |
| Object | Punat |
E460108
|
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: Punat | Statement: [Krk Island, hasPort, Punat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Punat Context triple: [Krk Island, hasPort, Punat]
-
A.
Punat
chosen
Punat is a coastal town and popular tourist resort on the island of Krk in Croatia, known for its marina and proximity to the islet of Košljun.
-
B.
Punnun
Punnun is a legendary prince and tragic lover from the Sindhi and Balochi folktale "Sassi Punnun," renowned for his doomed romance with Sassi.
-
C.
Punasa
Punasa is a town in Madhya Pradesh, India, known for its proximity to the major Indira Sagar Dam on the Narmada River.
-
D.
Paranesti
Paranesti is a small town and municipality in northeastern Greece, known for its mountainous landscapes, forests, and proximity to the Nestos River.
-
E.
Papine
Papine is a community in the Parish of St. Andrew, Jamaica, known for its proximity to the University of the West Indies and its role as a busy commercial and transportation hub.
- 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_69c0082c96988190b3a6a201edce472a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c024585d14819098ec34fd5a858836 |
completed | March 22, 2026, 5:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c07de7df8c8190824d24f729eaa04d |
completed | March 22, 2026, 11:40 p.m. |
Created at: March 22, 2026, 3:45 p.m.