Triple
T15315295
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TD postcode area |
E366138
|
entity |
| Predicate | hasPostcodeDistrict |
P961
|
FINISHED |
| Object |
TD13
TD13 is a UK postal district within the TD (Tweeddale) postcode area, covering a specific part of the Scottish Borders and surrounding region.
|
E1149663
|
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: TD13 | Statement: [TD postcode area, hasPostcodeDistrict, TD13]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TD13 Context triple: [TD postcode area, hasPostcodeDistrict, TD13]
-
A.
TD3
TD3 (Twin Delayed Deep Deterministic Policy Gradient) is an off-policy deep reinforcement learning algorithm that improves upon DDPG by reducing overestimation bias and stabilizing training for continuous control tasks.
-
B.
N13
N13 is a designated national road route identified by the number 13 within a country's highway network.
-
C.
TD-1A
TD-1A was a European Space Research Organisation astronomical satellite dedicated primarily to ultraviolet sky surveys and stellar observations in the early 1970s.
-
D.
T134
T134 is the ICAO aircraft type designator assigned to the Soviet-era twin-engine jet airliner Tupolev Tu-134.
-
E.
TD
TD is the stock ticker symbol for The Toronto-Dominion Bank, one of Canada’s largest multinational banking and financial services institutions.
- 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: TD13 Triple: [TD postcode area, hasPostcodeDistrict, TD13]
Generated description
TD13 is a UK postal district within the TD (Tweeddale) postcode area, covering a specific part of the Scottish Borders and surrounding region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: TD13 Target entity description: TD13 is a UK postal district within the TD (Tweeddale) postcode area, covering a specific part of the Scottish Borders and surrounding region.
-
A.
TD3
TD3 (Twin Delayed Deep Deterministic Policy Gradient) is an off-policy deep reinforcement learning algorithm that improves upon DDPG by reducing overestimation bias and stabilizing training for continuous control tasks.
-
B.
N13
N13 is a designated national road route identified by the number 13 within a country's highway network.
-
C.
TD-1A
TD-1A was a European Space Research Organisation astronomical satellite dedicated primarily to ultraviolet sky surveys and stellar observations in the early 1970s.
-
D.
T134
T134 is the ICAO aircraft type designator assigned to the Soviet-era twin-engine jet airliner Tupolev Tu-134.
-
E.
TD
TD is the two-letter ISO 3166-1 alpha-2 country code assigned to Chad.
- 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_69d85a113ee881908e297a1d38dd79fa |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03dd050108190a584543cb93943a4 |
completed | April 16, 2026, 1:39 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fef8a688a48190848eb7f065aba146 |
completed | May 9, 2026, 9:04 a.m. |
| NEDg | Description generation | batch_69fef9cf76cc8190898ea1e648da18ed |
completed | May 9, 2026, 9:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fefab2d4cc8190acaa4b6341224633 |
completed | May 9, 2026, 9:13 a.m. |
Created at: April 10, 2026, 3:16 a.m.