Triple
T4607753
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Himyar |
E100478
|
entity |
| Predicate | neighbor |
P350
|
FINISHED |
| Object | Qataban |
E236108
|
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: Qataban | Statement: [Himyar, neighbor, Qataban]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Qataban Context triple: [Himyar, neighbor, Qataban]
-
A.
Qataban
chosen
Qataban was an ancient South Arabian kingdom known for its incense trade and strategic position along key caravan routes in what is now Yemen.
-
B.
Qaʾan
Qaʾan is a Mongol imperial title signifying the supreme ruler of the Mongol Empire, comparable to the Great Khan.
-
C.
Kuqa
Kuqa is an ancient oasis city in China’s Xinjiang region that historically served as a key Buddhist and Silk Road cultural center in the Tarim Basin.
-
D.
Jabriya
Jabriya is a residential suburb in Kuwait known for its mix of apartment buildings, schools, and local shops within the Hawalli Governorate.
-
E.
Beruwala
Beruwala is a coastal town in southwestern Sri Lanka known for its beaches, fishing harbor, and historic Muslim community.
- 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_69bd43cce1e08190a07d53af6a9b6c24 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd599debdc81909d11d0e871c666bb |
completed | March 20, 2026, 2:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdfa725c048190af9eea074197fa32 |
completed | March 21, 2026, 1:54 a.m. |
Created at: March 20, 2026, 1:12 p.m.