Triple
T4751535
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cais do Sodré railway station |
E105486
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object | Algés |
E118346
|
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: Algés | Statement: [Cais do Sodré railway station, connectsTo, Algés]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Algés Context triple: [Cais do Sodré railway station, connectsTo, Algés]
-
A.
Algés
chosen
Algés is a coastal civil parish in the municipality of Oeiras, just west of central Lisbon, Portugal, known for its riverside location along the Tagus and proximity to the Belém district.
-
B.
Arganil
Arganil is a municipality and town in central Portugal known for its mountainous landscapes, river beaches, and traditional schist villages.
-
C.
Nisaea
Nisaea was the port town and harbor of ancient Megara in Greece, serving as its main maritime outlet on the Saronic Gulf.
-
D.
Martos
Martos is a historic town in southern Spain’s Andalusia region, known for its olive oil production and hilltop setting dominated by a medieval castle.
-
E.
Cassope
Cassope is an ancient Greek city in the region of Epirus, known for its well-preserved Hellenistic urban remains and panoramic hilltop location.
- 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_69bd43f07fa48190954317d01600994a |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd64c97b548190815083f2f8df907c |
completed | March 20, 2026, 3:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be3a5ddf088190892d31275adb39ba |
completed | March 21, 2026, 6:27 a.m. |
Created at: March 20, 2026, 1:20 p.m.