Triple
T5896217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mons Capitolinus |
E131106
|
entity |
| Predicate | hasSubdivisions |
P747
|
FINISHED |
| Object | Arx |
E553181
|
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: Arx | Statement: [Mons Capitolinus, hasSubdivisions, Arx]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arx Context triple: [Mons Capitolinus, hasSubdivisions, Arx]
-
A.
Arx
Arx was the ancient citadel on Rome’s Capitoline Hill, serving as a fortified stronghold and important religious and defensive center of the city.
-
B.
Arx (citadel)
chosen
Arx was the fortified northern summit of Rome’s Capitoline Hill, serving as a key defensive stronghold and religious center in ancient Roman times.
-
C.
Arkesini
Arkesini is a small traditional village on the Greek island of Amorgos, known for its ancient ruins and scenic Aegean setting.
-
D.
Arke
Arke was a Dutch leisure airline and tour operator brand that later became part of TUI and was rebranded as TUI fly Netherlands.
-
E.
Arki
Arki is a small, sparsely populated Greek island in the Aegean Sea, known for its quiet beaches and traditional fishing community.
- 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_69c00857439c819095950754176aa58a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c036f4b56c8190aa52c9460eae8fbe |
completed | March 22, 2026, 6:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0c000dfb481908cf37e5c143f4cae |
completed | March 23, 2026, 4:22 a.m. |
Created at: March 22, 2026, 3:58 p.m.