Triple
T7902651
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samaritan (as-Samiri) |
E183492
|
entity |
| Predicate | mentionedInSurah |
P831
|
FINISHED |
| Object | Ta-Ha |
E650997
|
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: Ta-Ha | Statement: [Samaritan (as-Samiri), mentionedInSurah, Ta-Ha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ta-Ha Context triple: [Samaritan (as-Samiri), mentionedInSurah, Ta-Ha]
-
A.
Ta-Ha
chosen
Ta-Ha is a chapter (Surah 20) of the Qur’an known for its eloquent narration of the stories of prophets—especially Moses—and its themes of divine guidance, mercy, and spiritual reflection.
-
B.
Rok-Tahk
Rok-Tahk is a young Brikar girl in Star Trek: Prodigy who, despite her massive and intimidating rock-like appearance, is gentle, shy, and gifted in science and xenobiology.
-
C.
Ta-Mehu
Ta-Mehu is the ancient Egyptian name for Lower Egypt, the northern region of the Nile Valley encompassing the Nile Delta.
-
D.
Tahkuna
Tahkuna is a coastal settlement in northern Estonia, located on Hiiumaa Island and known for its proximity to the historic Tahkuna Lighthouse.
-
E.
Hoan-ya
Hoan-ya is an alternative name for the Hoanya language, an indigenous Formosan language historically spoken in Taiwan.
- 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_69ca828d13088190b222be7aa9f9315c |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a40a0508190864479c2c41b12cb |
completed | March 31, 2026, 3:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5bc35cec8190bda3dfe7d8d4ed18 |
completed | March 31, 2026, 5:29 a.m. |
Created at: March 30, 2026, 5:02 p.m.