Triple
T14880416
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hasdrubal the Fair |
E349985
|
entity |
| Predicate | historicalRegion |
P915
|
FINISHED |
| Object | Iberia |
E1063246
|
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: Iberia | Statement: [Hasdrubal the Fair, historicalRegion, Iberia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Iberia Context triple: [Hasdrubal the Fair, historicalRegion, Iberia]
-
A.
Iberia
Iberia is the flag carrier airline of Spain, operating an extensive network of domestic and international flights, particularly linking Europe with Latin America.
-
B.
Iberia
chosen
Iberia is a historical region of the western Mediterranean, largely corresponding to modern Spain and Portugal, known for its ancient Celtic and Roman cultures.
-
C.
Ibéria
Ibéria is the central movement of Claude Debussy’s orchestral triptych "Images pour orchestre," evoking the atmosphere and rhythms of Spain through impressionistic orchestration.
-
D.
Spanyolrét
Spanyolrét is a residential neighborhood located within Budapest’s 11th District (Újbuda) on the Buda side of the city.
-
E.
Iberê
Iberê is a Brazilian given name most notably associated with the influential painter and printmaker Iberê Camargo.
- 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_69d822ee4f408190b6ac3b2fa434f0df |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded5e622388190b2bf91cd10b9821d |
completed | April 15, 2026, 12:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe72ac9f6481908f7b4f63a11fe16c |
completed | May 8, 2026, 11:33 p.m. |
Created at: April 10, 2026, 1:55 a.m.