Triple
T17933811
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Templecombe railway station |
E448400
|
entity |
| Predicate | stationCode |
P1289
|
FINISHED |
| Object |
TMC
TMC is the three-letter National Rail station code assigned to Templecombe railway station in Somerset, England.
|
E1296469
|
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: TMC | Statement: [Templecombe railway station, stationCode, TMC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TMC Context triple: [Templecombe railway station, stationCode, TMC]
-
A.
TMC
TMC is a major Indian political party, formally known as the All India Trinamool Congress, primarily influential in the state of West Bengal.
-
B.
TMC
TMC is the commonly used abbreviation for Thurgood Marshall College, one of the undergraduate colleges at the University of California, San Diego.
-
C.
TMC
TMC is a French television channel specializing in general entertainment programming, owned by the TF1 Group.
-
D.
TMC
TMC is a commonly used abbreviation for the Indian city of Thane, particularly in the context of its municipal corporation and local governance.
-
E.
TMC 2
TMC 2 is a high-resolution terrain mapping camera used on Indian lunar missions to capture detailed three-dimensional images of the Moon’s surface.
- 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: TMC Triple: [Templecombe railway station, stationCode, TMC]
Generated description
TMC is the three-letter National Rail station code assigned to Templecombe railway station in Somerset, England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: TMC Target entity description: TMC is the three-letter National Rail station code assigned to Templecombe railway station in Somerset, England.
-
A.
TMC
TMC is a French television channel specializing in general entertainment programming, owned by the TF1 Group.
-
B.
TMC
TMC is a major Indian political party, formally known as the All India Trinamool Congress, primarily influential in the state of West Bengal.
-
C.
TMC
TMC is a commonly used abbreviation for the Indian city of Thane, particularly in the context of its municipal corporation and local governance.
-
D.
TMC
TMC is the commonly used abbreviation for Thurgood Marshall College, one of the undergraduate colleges at the University of California, San Diego.
-
E.
TMC 2
TMC 2 is a high-resolution terrain mapping camera used on Indian lunar missions to capture detailed three-dimensional images of the Moon’s surface.
- 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_69d8b9f79d14819095540856928f0e25 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4a5547b7881909dc41bb7dd34194f |
completed | April 19, 2026, 9:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03213a24b48190aad2297210e86d78 |
completed | May 12, 2026, 12:46 p.m. |
| NEDg | Description generation | batch_6a0322181a5c8190b34ea80445fc5596 |
completed | May 12, 2026, 12:50 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0322a4c9448190823e9fdc03ea9f90 |
completed | May 12, 2026, 12:52 p.m. |
Created at: April 10, 2026, 10:21 a.m.