Triple
T16932495
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gandesa |
E410744
|
entity |
| Predicate | hasNearbyMunicipality |
P4647
|
FINISHED |
| Object | Bot |
E407874
|
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: Bot | Statement: [Gandesa, hasNearbyMunicipality, Bot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bot Context triple: [Gandesa, hasNearbyMunicipality, Bot]
-
A.
Bot
chosen
Bot is a small municipality located in the Terra Alta comarca of Catalonia, Spain, known for its rural landscape and wine production.
-
B.
Robot
"Robot" is a 1974 "Doctor Who" serial written by Terrance Dicks, featuring the Fourth Doctor in his debut story.
-
C.
Robot
Robot is a 2010 Indian science fiction film directed by S. Shankar and starring Rajinikanth and Aishwarya Rai, centered on a humanoid robot and the ethical and emotional dilemmas surrounding artificial intelligence.
-
D.
BOT
BOT is the National Rail station code for Bootle Oriel Road railway station in Merseyside, England.
-
E.
BOT
The Bank of Thailand (BOT) is the central bank of Thailand responsible for monetary policy, financial stability, and regulation of the country’s banking system.
- 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_69e3cf2650e08190b669d0cf2cf1275b |
completed | April 18, 2026, 6:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00cfe0ff608190903d0e64e04b1550 |
completed | May 10, 2026, 6:35 p.m. |
Created at: April 10, 2026, 5:30 a.m.