Triple
T6826092
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Orotava |
E157018
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object | Los Realejos |
E173715
|
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: Los Realejos | Statement: [La Orotava, borders, Los Realejos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Los Realejos Context triple: [La Orotava, borders, Los Realejos]
-
A.
Los Realejos
chosen
Los Realejos is a coastal municipality in northern Tenerife, Spain, known for its traditional Canarian architecture, historic churches, and vibrant local festivals.
-
B.
El Realejo
El Realejo is a historic coastal town and former colonial port in northwestern Nicaragua.
-
C.
La Yesca
La Yesca is a municipality and town located in the mountainous southeastern region of the Mexican state of Nayarit.
-
D.
El Molo
El Molo is a nearly extinct Cushitic language spoken by the El Molo people of northern Kenya along the shores of Lake Turkana.
-
E.
Casa del Mar
Casa del Mar is one of the guesthouses within Hearst Castle, the lavish estate built by newspaper magnate William Randolph Hearst on California’s Central Coast.
- 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_69c6882a5b5c8190917a7db9ed36bad1 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d58375248190935dd38d618994e3 |
completed | March 27, 2026, 7:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c723f12a148190adbb05782a2041b6 |
completed | March 28, 2026, 12:42 a.m. |
Created at: March 27, 2026, 2:18 p.m.