Triple
T6091908
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | In Treatment |
E135784
|
entity |
| Predicate | basedOn |
P98
|
FINISHED |
| Object | BeTipul |
E407477
|
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: BeTipul | Statement: [In Treatment, basedOn, BeTipul]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BeTipul Context triple: [In Treatment, basedOn, BeTipul]
-
A.
BeTipul
chosen
BeTipul is an acclaimed Israeli psychological drama television series that follows the intense, therapy-room conversations between a psychologist and his patients.
-
B.
Potiskum
Potiskum is a major commercial and population center in northeastern Nigeria, known especially for its bustling markets and strategic location in Yobe State.
-
C.
Tikun
Tikun is a central Kabbalistic concept referring to the spiritual rectification and restoration of cosmic and personal harmony.
-
D.
Taslḥit
Taslḥit is a variety of the Amazigh (Berber) language spoken primarily in southwestern Morocco.
-
E.
Shitta
Shitta is a well-known residential and commercial neighborhood located within the Surulere area of Lagos, Nigeria.
- 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_69c0087cd3c48190b459848c72d84eb1 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c057ab7324819086d4708e6f9391c0 |
completed | March 22, 2026, 8:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c125365a7481909e40d01c2d3590aa |
completed | March 23, 2026, 11:34 a.m. |
Created at: March 22, 2026, 4:12 p.m.