Triple
T6542557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tianjin West Railway Station |
E168325
|
entity |
| Predicate | railwayStationCode |
P1289
|
FINISHED |
| Object |
TXP
TXP is the station code used to identify Tianjin West Railway Station in China’s railway network.
|
E605380
|
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: TXP | Statement: [Tianjin West Railway Station, railwayStationCode, TXP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TXP Context triple: [Tianjin West Railway Station, railwayStationCode, TXP]
-
A.
TXK
TXK is the IATA airport code for Texarkana Regional Airport, which serves the Texarkana area in Texas and Arkansas.
-
B.
TDXP
TDXP is the stock ticker symbol for the TecDAX index, which tracks major German technology companies listed on the Frankfurt Stock Exchange.
-
C.
TXL
TXL was the IATA airport code for Berlin Tegel Airport, the former main international airport of Berlin, Germany.
-
D.
TX-10
TX-10 is the commonly used abbreviation for Texas's 10th congressional district, a U.S. House of Representatives district covering parts of central Texas.
-
E.
TX-4
TX-4 is the commonly used abbreviation for Texas's 4th congressional district in the United States House of Representatives.
- 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: TXP Triple: [Tianjin West Railway Station, railwayStationCode, TXP]
Generated description
TXP is the station code used to identify Tianjin West Railway Station in China’s railway network.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: TXP Target entity description: TXP is the station code used to identify Tianjin West Railway Station in China’s railway network.
-
A.
TXK
TXK is the IATA airport code for Texarkana Regional Airport, which serves the Texarkana area in Texas and Arkansas.
-
B.
TDXP
TDXP is the stock ticker symbol for the TecDAX index, which tracks major German technology companies listed on the Frankfurt Stock Exchange.
-
C.
TXL
TXL was the IATA airport code for Berlin Tegel Airport, the former main international airport of Berlin, Germany.
-
D.
TX-10
TX-10 is the commonly used abbreviation for Texas's 10th congressional district, a U.S. House of Representatives district covering parts of central Texas.
-
E.
TX-4
TX-4 is the commonly used abbreviation for Texas's 4th congressional district in the United States House of Representatives.
- 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_69c68a51564081909e93aee0dbd9cca3 |
completed | March 27, 2026, 1:46 p.m. |
| NER | Named-entity recognition | batch_69c6add9036081908917ff27ceed1038 |
completed | March 27, 2026, 4:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6d541f25081909a4b218fd38718c6 |
completed | March 27, 2026, 7:06 p.m. |
| NEDg | Description generation | batch_69c6d82753288190bb8cd18254feee2d |
completed | March 27, 2026, 7:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6d92bc2508190b0e1eaf8b46c958e |
completed | March 27, 2026, 7:23 p.m. |
Created at: March 27, 2026, 1:50 p.m.