Triple
T9577371
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kemak language |
E231077
|
entity |
| Predicate | glottologName |
P6521
|
FINISHED |
| Object | Kemak |
E809219
|
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: Kemak | Statement: [Kemak language, glottologName, Kemak]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kemak Context triple: [Kemak language, glottologName, Kemak]
-
A.
Kemak
chosen
Kemak is an Austronesian language spoken primarily by the Kemak people in Timor-Leste and parts of Indonesian West Timor.
-
B.
Makus
Makus is an alternative form of the name Maccus, a historical given name of Norse and Gaelic origin.
-
C.
Kamchiya
Kamchiya is a popular Black Sea coastal resort area in northeastern Bulgaria, known for its wide sandy beaches and proximity to the scenic Kamchiya River and nature reserve.
-
D.
Kemusuk
Kemusuk is a small village in Yogyakarta, Indonesia, best known as the birthplace of former Indonesian president Suharto.
-
E.
Maku
Maku is a city in northwestern Iran known for its mountainous landscape and proximity to the Turkish border.
- 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_69ca848091c48190bc313d6620d09555 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd99ad7d108190a0b8c975351ea727 |
completed | April 1, 2026, 10:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d17907de488190be97e58b05b6c6f2 |
completed | April 4, 2026, 8:48 p.m. |
Created at: March 30, 2026, 8:05 p.m.