Triple
T7912679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Puerto del Carmen |
E183736
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Tías |
E178572
|
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: Tías | Statement: [Puerto del Carmen, partOf, Tías]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tías Context triple: [Puerto del Carmen, partOf, Tías]
-
A.
Tías
chosen
Tías is a coastal municipality on the Spanish island of Lanzarote in the Canary Islands, known for the popular tourist resort of Puerto del Carmen.
-
B.
Tia
Tia is a feminine given name, often used as a short form of longer names such as Timothea.
-
C.
Tatia
Tatia was an early Roman noblewoman, traditionally known as the wife of Rome’s second king, Numa Pompilius, and a figure linked to the Sabine heritage in Roman legend.
-
D.
Tinée
Tinée is a river in southeastern France that flows through the Alpes-Maritimes department in the Provence-Alpes-Côte d'Azur region.
-
E.
Teressa
Teressa is a Nicobarese language variety spoken by the indigenous community on Teressa Island in India’s Nicobar archipelago.
- 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_69ca828dec0c81908b8f55a4dbbb53ff |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a7383cc819084eab19799209d2e |
completed | March 31, 2026, 3:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5bdfb8d0819089cf1268df61bcdc |
completed | March 31, 2026, 5:30 a.m. |
Created at: March 30, 2026, 5:04 p.m.