Triple
T7175177
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tianjin Railway Station |
E167301
|
entity |
| Predicate | railwayStationCode |
P1289
|
FINISHED |
| Object |
TJP
TJP is the station code used to identify Tianjin Railway Station in China’s railway network.
|
E646526
|
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: TJP | Statement: [Tianjin Railway Station, railwayStationCode, TJP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TJP Context triple: [Tianjin Railway Station, railwayStationCode, TJP]
-
A.
TJPB
TJPB is the acronym for the Court of Justice of the Brazilian state of Paraíba, the highest body of its state judiciary responsible for second-instance judicial decisions.
-
B.
TPJ
TPJ is the station code for Tiruchirappalli Junction, a major railway hub in the Indian state of Tamil Nadu.
-
C.
TJCP
TJCP is the ICAO airport code assigned to Benjamin Rivera Noriega Airport in Puerto Rico.
-
D.
TJ
TJ is a software developer best known for creating the Node.js web framework Express and numerous other open-source tools.
-
E.
TJ
TJ is the two-letter ISO 3166-1 alpha-2 country code assigned to Tajikistan.
- 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: TJP Triple: [Tianjin Railway Station, railwayStationCode, TJP]
Generated description
TJP is the station code used to identify Tianjin Railway Station in China’s railway network.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: TJP Target entity description: TJP is the station code used to identify Tianjin Railway Station in China’s railway network.
-
A.
TJPB
TJPB is the acronym for the Court of Justice of the Brazilian state of Paraíba, the highest body of its state judiciary responsible for second-instance judicial decisions.
-
B.
TPJ
TPJ is the station code for Tiruchirappalli Junction, a major railway hub in the Indian state of Tamil Nadu.
-
C.
TJCP
TJCP is the ICAO airport code assigned to Benjamin Rivera Noriega Airport in Puerto Rico.
-
D.
TJ
TJ is a software developer best known for creating the Node.js web framework Express and numerous other open-source tools.
-
E.
TJ
TJ is the two-letter ISO 3166-1 alpha-2 country code assigned to Tajikistan.
- 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_69c68889a2748190a316c5e65360361a |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e88d770c8190b8d06dcd08447c08 |
completed | March 27, 2026, 8:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7b9281e808190ac2a8ad585a70ea0 |
completed | March 28, 2026, 11:19 a.m. |
| NEDg | Description generation | batch_69c7b9993f40819098c59865a3e64532 |
completed | March 28, 2026, 11:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7ba4f196c8190b29e6ddc091f11a6 |
completed | March 28, 2026, 11:23 a.m. |
Created at: March 27, 2026, 2:48 p.m.