Triple
T5130482
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rijeka |
E115683
|
entity |
| Predicate | twinCity |
P1072
|
FINISHED |
| Object | Este |
E40282
|
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: Este | Statement: [Rijeka, twinCity, Este]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Este Context triple: [Rijeka, twinCity, Este]
-
A.
Este
chosen
Este is an ancient town in northern Italy notable as a key center of the Venetic civilization and culture.
-
B.
Esta
Esta is a feminine given name used in various cultures, often as a variant of Esther.
-
C.
El
El is the common nickname for Philadelphia’s elevated Market–Frankford rapid transit line operated by SEPTA.
-
D.
El
El is the chief god of the ancient Canaanite pantheon, often depicted as a patriarchal creator and father of other deities.
-
E.
El
El is the given name of El Anatsui, the renowned Ghanaian-Nigerian sculptor celebrated for his monumental metal wall hangings made from recycled materials.
- 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_69bd444426bc819099ccd23f141e22aa |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7827c764819086da3b79f2020224 |
completed | March 20, 2026, 4:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bec4c626a48190b2fd81b88b5a59cc |
completed | March 21, 2026, 4:18 p.m. |
Created at: March 20, 2026, 1:42 p.m.