Triple
T21896625
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gamila |
E540694
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Tymfi Gamila |
—
|
NE NERFINISHED |
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: Tymfi Gamila | Statement: [Gamila, alsoKnownAs, Tymfi Gamila]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tymfi Gamila Context triple: [Gamila, alsoKnownAs, Tymfi Gamila]
-
A.
Tymfi
chosen
Tymfi is a prominent mountain range in the Pindus Mountains of northwestern Greece, known for its dramatic peaks, deep gorges, and popular hiking routes.
-
B.
Gamelia
Gamelia is an epithet associated with the Greek goddess Hera, emphasizing her role as protector of marriage and weddings.
-
C.
Madime
Madime is a popular Tulu-language comedy film known for its humorous take on marriage and family relationships.
-
D.
Ta’aisha
The Ta’aisha are a Sudanese Arab tribal group from the Darfur–Kordofan region, historically prominent through their leadership role in the Mahdist state under Abdallahi ibn Muhammad.
-
E.
Keila
Keila is a small town in northern Estonia known for its historic church, scenic Keila River and waterfall, and role as a local administrative and transport hub.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c47a95908190ae3e19b716accb3d |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f11fc700c08190a470fe1ad76c8509 |
completed | April 28, 2026, 8:59 p.m. |
Created at: April 16, 2026, 7:07 p.m.