Triple
T6412756
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Hersey |
E127747
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Tientsin |
E31338
|
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: Tientsin | Statement: [John Hersey, placeOfBirth, Tientsin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tientsin Context triple: [John Hersey, placeOfBirth, Tientsin]
-
A.
Tianjin
chosen
Tianjin is a major port city and industrial hub in northern China, located near Beijing along the Bohai Sea.
-
B.
Tiāntán
Tiāntán is the Chinese pinyin name for the Temple of Heaven, a historic imperial religious complex in Beijing where Ming and Qing dynasty emperors performed annual ceremonies to pray for good harvests.
-
C.
Langfang
Langfang is a prefecture-level city in northern China situated between Beijing and Tianjin, known for its strategic location and growing industrial and service sectors.
-
D.
Qinhuangdao
Qinhuangdao is a coastal port city in northeastern China known for its beaches, seaport, and proximity to the eastern end of the Great Wall.
-
E.
Panjin
Panjin is an industrial and oil-producing city in northeastern China, best known for its striking Red Beach wetlands along the Bohai Sea.
- 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_69c0083723d88190b1e37b19df162c08 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c068d228208190ba05eeb7707482fe |
completed | March 22, 2026, 10:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c669dbb0708190b0651c524a80a251 |
completed | March 27, 2026, 11:28 a.m. |
Created at: March 22, 2026, 4:42 p.m.