Triple
T11803779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hanthawaddy Kingdom |
E280691
|
entity |
| Predicate | portCity |
P3206
|
FINISHED |
| Object | Bago |
E779655
|
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: Bago | Statement: [Hanthawaddy Kingdom, portCity, Bago]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bago Context triple: [Hanthawaddy Kingdom, portCity, Bago]
-
A.
Bago
Bago is a component city in the province of Negros Occidental in the Philippines, known for its agricultural economy and historical significance.
-
B.
Bago
chosen
Bago is a historic city in southern Myanmar known for its ancient Buddhist monuments and proximity to Yangon.
-
C.
Bagà
Bagà is a historic town in Catalonia, Spain, known for its medieval old quarter and location in the Pyrenees.
-
D.
Bacuag
Bacuag is a coastal municipality in the province of Surigao del Norte in the Philippines, known for its fishing communities and access to rich marine resources.
-
E.
Bagana
Bagana is an active stratovolcano on Bougainville Island in Papua New Guinea, known for its frequent eruptions and extensive lava flows.
- 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_69d6ab26aae88190b2489efcb2a24234 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a5a5a2048190b68027f622366079 |
completed | April 10, 2026, 7:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f280fe1b2881908c32b920cdaf04df |
completed | April 29, 2026, 10:06 p.m. |
Created at: April 8, 2026, 9:42 p.m.