Triple
T15688172
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rehe |
E380255
|
entity |
| Predicate | romanization |
P2508
|
FINISHED |
| Object | Jehol |
E1171567
|
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: Jehol | Statement: [Rehe, romanization, Jehol]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jehol Context triple: [Rehe, romanization, Jehol]
-
A.
Jehol
chosen
Jehol is a historical region in northeastern China, known for its rich fossil beds and its role as a former imperial summer retreat area.
-
B.
Benxi Lake
Benxi Lake is a scenic natural lake in Benxi, Liaoning Province, China, known for its clear waters and tranquil surroundings that make it a popular spot for sightseeing and leisure.
-
C.
Jinhai
Jinhai is one of the co-pilots of the Jaeger Guardian Bravo in the Pacific Rim universe.
-
D.
Houhai
Houhai is a coastal area in Shenzhen, China, known for its modern waterfront developments, shopping centers, and vibrant nightlife.
-
E.
نهر جيحون
نهر جيحون هو الاسم التاريخي لنهر آموداريا، أحد أهم أنهار آسيا الوسطى الذي شكّل حدًا طبيعيًا بين حضارات قديمة كخراسان وما وراء النهر.
- 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_69d86d99e860819094b6957cde470f2c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04f4cee5481908699fbb2b7bdd2f6 |
completed | April 16, 2026, 2:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff756ffcc88190a72440c7b40711ff |
completed | May 9, 2026, 5:57 p.m. |
Created at: April 10, 2026, 4:44 a.m.