Triple
T10611568
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ava |
E276019
|
entity |
| Predicate | precededByCapital |
P24060
|
FINISHED |
| Object | Sagaing |
E276015
|
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: Sagaing | Statement: [Ava, precededByCapital, Sagaing]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sagaing Context triple: [Ava, precededByCapital, Sagaing]
-
A.
Sagaing
chosen
Sagaing is a historic city in northern Myanmar known for its numerous Buddhist monasteries and pagodas spread across the hills along the Irrawaddy River.
-
B.
Sandvollan
Sandvollan is a village in the municipality of Inderøy in Trøndelag county, Norway.
-
C.
Steinsåsen
Steinsåsen is a small village in Hole Municipality in Viken county, Norway, situated near the Tyrifjorden lake and known for its scenic rural surroundings.
-
D.
Thamserku
Thamserku is a prominent Himalayan peak in eastern Nepal, known for its steep, dramatic profile and popularity among experienced mountaineers.
-
E.
Schaumainkai
Schaumainkai is a prominent riverside street along the south bank of the Main River in Frankfurt, Germany, known for its concentration of major museums and cultural institutions.
- 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_69d6aaf948d88190806cc3a8c47a3fb2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d6df5a1450819082ad445712fb7868 |
completed | April 8, 2026, 11:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d95ec61b388190adee9b3577567709 |
completed | April 10, 2026, 8:34 p.m. |
Created at: April 8, 2026, 7:33 p.m.