Triple
T5690056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ngo |
E125405
|
entity |
| Predicate | hasRomanization |
P2508
|
FINISHED |
| Object | Ngo |
E125405
|
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: Ngo | Statement: [Ngo, hasRomanization, Ngo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ngo Context triple: [Ngo, hasRomanization, Ngo]
-
A.
Ngo
chosen
Ngo is a Vietnamese surname most prominently associated with figures such as former South Vietnamese president Ngo Dinh Diem.
-
B.
Namgia
Namgia is a small Himalayan village in India’s Himachal Pradesh, known as one of the last settlements before the Indo-Tibetan border near the high mountain pass of Shipki La.
-
C.
Chō
Chō is a Japanese surname borne by various notable individuals across fields such as the military, arts, and entertainment.
-
D.
Nggae
Nggae is an alternative name for the Ghari language spoken in the Solomon Islands.
-
E.
Namu
Namu is the main settlement and administrative center of Namu Atoll in the Marshall Islands.
- 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_69c0082bb19c8190823a4facd3cba79b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c023e340a08190b6175fad3e9a32b6 |
completed | March 22, 2026, 5:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0a15254788190bd5d533df9c1fa26 |
completed | March 23, 2026, 2:11 a.m. |
Created at: March 22, 2026, 3:44 p.m.