Triple
T19925203
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Westgate Oxford |
E478903
|
entity |
| Predicate | nearby |
P350
|
FINISHED |
| Object | Carfax Tower |
—
|
NE NERFINISHED |
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: Carfax Tower | Statement: [Westgate Oxford, nearby, Carfax Tower]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carfax Tower Context triple: [Westgate Oxford, nearby, Carfax Tower]
-
A.
Carfax Tower
chosen
Carfax Tower is a historic medieval bell tower and prominent city landmark located at the central crossroads of Oxford, England.
-
B.
Crockfords Tower
Crockfords Tower is a luxury all-suite hotel within Resorts World Sentosa on Singapore’s Sentosa Island, known for its exclusive, high-end accommodations and personalized service.
-
C.
Reginald Tower
Reginald Tower was a British diplomat and colonial administrator who became notable for overseeing the Free City of Danzig under the League of Nations after World War I.
-
D.
Courthouse Towers
Courthouse Towers is a prominent cluster of towering sandstone formations in Arches National Park, known for its sheer vertical cliffs and dramatic desert scenery.
-
E.
Wood Tower
Wood Tower is a historic medieval watchtower and former city gate located in the German city of Mainz along the Rhine River.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e521855c8190b41871700afc8d6a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e659c992fc8190bd262d528be0e636 |
completed | April 20, 2026, 4:52 p.m. |
Created at: April 10, 2026, 1:53 p.m.