Triple
T14585463
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guadiana estuary |
E342302
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Ayamonte |
E315623
|
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: Ayamonte | Statement: [Guadiana estuary, near, Ayamonte]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ayamonte Context triple: [Guadiana estuary, near, Ayamonte]
-
A.
Ayamonte
chosen
Ayamonte is a Spanish border town in the province of Huelva, Andalusia, situated at the mouth of the Guadiana River opposite Portugal.
-
B.
Baeza
Baeza is a historic Andalusian town in southern Spain renowned for its well-preserved Renaissance architecture and status as a UNESCO World Heritage Site.
-
C.
Águeda
Águeda is a Portuguese city in the Aveiro District, known for its colorful umbrella-filled streets and as a local commercial and cultural center in the Vouga River valley.
-
D.
Béjar
Béjar is a historic town in the province of Salamanca, Spain, known for its textile heritage and scenic setting in the Sierra de Béjar mountains.
-
E.
Peñaranda
Peñaranda is a municipality in the Philippine province of Nueva Ecija, known for its agricultural economy and local cultural traditions.
- 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_69d822ddc0f081909cd8163c7de298cd |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb421bb308190a457425429ef6aa5 |
completed | April 14, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff0b3017808190a44087056ba6a472 |
completed | May 9, 2026, 10:23 a.m. |
Created at: April 10, 2026, 1:24 a.m.