Triple
T14581785
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sihui |
E342209
|
entity |
| Predicate | adjacentStationOnLine1 |
P5707
|
FINISHED |
| Object |
Dawanglu
Dawanglu is a major Beijing Subway station and commercial area in Beijing, China.
|
E1109094
|
NE FINISHED |
How this triple was built (4 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: Dawanglu | Statement: [Sihui, adjacentStationOnLine1, Dawanglu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dawanglu Context triple: [Sihui, adjacentStationOnLine1, Dawanglu]
-
A.
Leuwiliang
Leuwiliang is a district-level area in West Java, Indonesia, known as part of the greater Bogor region.
-
B.
Dumai
Dumai is a coastal city in Indonesia on the island of Sumatra, known as an important industrial and maritime hub in Riau province.
-
C.
Dayong
Dayong is the former name of the city now known as Zhangjiajie in Hunan Province, China, famed for its dramatic sandstone pillar landscapes.
-
D.
Tajuan
Tajuan is the given first name of former NFL cornerback Ty Law.
-
E.
Wanggudu
Wanggudu is a town in Indonesia’s Southeast Sulawesi province, known as a local administrative and population center in the region.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Dawanglu Triple: [Sihui, adjacentStationOnLine1, Dawanglu]
Generated description
Dawanglu is a major Beijing Subway station and commercial area in Beijing, China.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dawanglu Target entity description: Dawanglu is a major Beijing Subway station and commercial area in Beijing, China.
-
A.
Leuwiliang
Leuwiliang is a district-level area in West Java, Indonesia, known as part of the greater Bogor region.
-
B.
Dumai
Dumai is a coastal city in Indonesia on the island of Sumatra, known as an important industrial and maritime hub in Riau province.
-
C.
Dayong
Dayong is the former name of the city now known as Zhangjiajie in Hunan Province, China, famed for its dramatic sandstone pillar landscapes.
-
D.
Tajuan
Tajuan is the given first name of former NFL cornerback Ty Law.
-
E.
Wanggudu
Wanggudu is a town in Indonesia’s Southeast Sulawesi province, known as a local administrative and population center in the region.
- F. None of above. chosen
Provenance (5 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_69d822ddc0f081909cd8163c7de298cd |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb41e71748190a1deacc819dd26d3 |
completed | April 14, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd94ba235c81909e0408ccf2be9628 |
completed | May 8, 2026, 7:46 a.m. |
| NEDg | Description generation | batch_69fd9619f33881908e8d95ef09256d34 |
completed | May 8, 2026, 7:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd96e97ec48190aae9b25ce7154802 |
completed | May 8, 2026, 7:55 a.m. |
Created at: April 10, 2026, 1:24 a.m.