Triple
T16944448
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Felipe Province |
E411032
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object | Llaillay |
E192558
|
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: Llaillay | Statement: [San Felipe Province, hasMunicipality, Llaillay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Llaillay Context triple: [San Felipe Province, hasMunicipality, Llaillay]
-
A.
Llaillay
chosen
Llaillay is a Chilean town and commune in the Valparaíso Region, known for its agricultural activity and location in the Aconcagua Valley.
-
B.
Lelylaan
Lelylaan is a transport hub and railway/metro station in Amsterdam’s Nieuw-West district, connecting metro, train, tram, and bus services.
-
C.
Llausha
Llausha is a village in the municipality of Skenderaj in central Kosovo.
-
D.
Laira
Laira is a suburb of Plymouth in Devon, England, situated along the River Plym and known for its residential areas and transport links.
-
E.
Llay
Llay is a village and community in Wrexham County Borough in north-east Wales, historically associated with coal mining.
- 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_69d886c886688190967be07322597ac9 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3cfb08da88190b07c32652bbc1534 |
completed | April 18, 2026, 6:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00cfea3bc88190acaa013169d607c5 |
completed | May 10, 2026, 6:35 p.m. |
Created at: April 10, 2026, 5:31 a.m.