Triple
T5992164
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ghomalaʼ |
E133374
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Ghomáláʼ |
E133374
|
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: Ghomáláʼ | Statement: [Ghomalaʼ, hasAlternativeName, Ghomáláʼ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ghomáláʼ Context triple: [Ghomalaʼ, hasAlternativeName, Ghomáláʼ]
-
A.
Ghomalaʼ
chosen
Ghomalaʼ is a Bantu language spoken primarily by the Bamileke people in western Cameroon.
-
B.
Huraymila
Huraymila is a small town in central Saudi Arabia known for its traditional character and location within the greater Riyadh region.
-
C.
Jimalalud
Jimalalud is a coastal municipality in the province of Negros Oriental in the Philippines, known for its agricultural economy and rural communities.
-
D.
Muyil
Muyil is an ancient Maya archaeological site in Mexico’s Yucatán Peninsula, known for its well-preserved temples and proximity to the Sian Ka'an Biosphere Reserve.
-
E.
Lalsalu
Lalsalu is a classic Bengali novel by Syed Waliullah that explores religious hypocrisy and rural life in East Bengal.
- 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_69c0087010d081908bb8142342d63330 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04e8fd030819095a4f3b3d425ec21 |
completed | March 22, 2026, 8:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1136125808190a363a00a60d8675a |
completed | March 23, 2026, 10:18 a.m. |
Created at: March 22, 2026, 4:05 p.m.