Triple
T15549657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guanzhuang Station |
E370707
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object |
BT06
BT06 is the station code assigned to Guanzhuang Station on the Beijing Subway network.
|
E1163221
|
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: BT06 | Statement: [Guanzhuang Station, hasStationCode, BT06]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BT06 Context triple: [Guanzhuang Station, hasStationCode, BT06]
-
A.
BP-6M
BP-6M is a Nokia lithium-ion mobile phone battery model commonly used in mid-2000s Nokia smartphones such as the N93.
-
B.
BT1
BT1 is the central Belfast city centre postcode district in Northern Ireland, covering key commercial and civic areas including Donegall Square.
-
C.
TX-06
TX-06 is the abbreviated designation for Texas's 6th congressional district, a U.S. House of Representatives district covering parts of the Dallas–Fort Worth region.
-
D.
BTO
BTO is the National Rail station code for Betchworth railway station in Surrey, England.
-
E.
Bt
Bt is the post-nominal abbreviation for a baronetcy title in the British honours system, indicating that the holder is a baronet.
- 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: BT06 Triple: [Guanzhuang Station, hasStationCode, BT06]
Generated description
BT06 is the station code assigned to Guanzhuang Station on the Beijing Subway network.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: BT06 Target entity description: BT06 is the station code assigned to Guanzhuang Station on the Beijing Subway network.
-
A.
BP-6M
BP-6M is a Nokia lithium-ion mobile phone battery model commonly used in mid-2000s Nokia smartphones such as the N93.
-
B.
BT1
BT1 is the central Belfast city centre postcode district in Northern Ireland, covering key commercial and civic areas including Donegall Square.
-
C.
TX-06
TX-06 is the abbreviated designation for Texas's 6th congressional district, a U.S. House of Representatives district covering parts of the Dallas–Fort Worth region.
-
D.
BTO
BTO is the National Rail station code for Betchworth railway station in Surrey, England.
-
E.
Bt
Bt is the post-nominal abbreviation for a baronetcy title in the British honours system, indicating that the holder is a baronet.
- 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_69d85cc6cf40819091f4a5facee1ebe6 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04a93121881909d88ca55a39252ac |
completed | April 16, 2026, 2:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff455dfbcc8190a93e90c59b2d3045 |
completed | May 9, 2026, 2:31 p.m. |
| NEDg | Description generation | batch_69ff467e5d6c8190ba3bf6557e683233 |
completed | May 9, 2026, 2:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff470912bc8190a42ee312aca55872 |
completed | May 9, 2026, 2:39 p.m. |
Created at: April 10, 2026, 4:08 a.m.