Triple
T5116743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Penryn |
E115353
|
entity |
| Predicate | postcodeArea |
P920
|
FINISHED |
| Object |
TR
TR is the postcode area covering Truro and much of Cornwall in southwest England.
|
E493334
|
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: TR | Statement: [Penryn, postcodeArea, TR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TR Context triple: [Penryn, postcodeArea, TR]
-
A.
TR
TR is the two-letter ISO 3166-1 alpha-2 country code assigned to Turkey for international standardization and referencing.
-
B.
TR
TR is the common abbreviation for the Textus Receptus, a historically influential printed Greek New Testament text that underlies many early Protestant Bible translations.
-
C.
tr
tr is a GNU Core Utilities command-line program used to translate, squeeze, or delete characters from standard input and write the result to standard output.
-
D.
TRA
TRA is the UK government body responsible for regulating the teaching profession, including overseeing teacher misconduct and maintaining professional standards.
-
E.
TRA
TRA is the ICAO airline designator assigned to Transavia, a Dutch low-cost carrier operating scheduled and charter flights across Europe and surrounding regions.
- 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: TR Triple: [Penryn, postcodeArea, TR]
Generated description
TR is the postcode area covering Truro and much of Cornwall in southwest England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: TR Target entity description: TR is the postcode area covering Truro and much of Cornwall in southwest England.
-
A.
TR
TR is the two-letter ISO 3166-1 alpha-2 country code assigned to Turkey for international standardization and referencing.
-
B.
TR
TR is the common abbreviation for the Textus Receptus, a historically influential printed Greek New Testament text that underlies many early Protestant Bible translations.
-
C.
tr
tr is a GNU Core Utilities command-line program used to translate, squeeze, or delete characters from standard input and write the result to standard output.
-
D.
TRA
TRA is the UK government body responsible for regulating the teaching profession, including overseeing teacher misconduct and maintaining professional standards.
-
E.
TRA
TRA is the ICAO airline designator assigned to Transavia, a Dutch low-cost carrier operating scheduled and charter flights across Europe and surrounding regions.
- 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_69bd4441d1648190a54a533895041987 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd75cfa9f88190aa7dfd264e554899 |
completed | March 20, 2026, 4:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bebaafd674819080b751216e5b6f70 |
completed | March 21, 2026, 3:35 p.m. |
| NEDg | Description generation | batch_69bebb27171481909492cad522ac143b |
completed | March 21, 2026, 3:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bebc71065881908b27a2808fc4e630 |
completed | March 21, 2026, 3:42 p.m. |
Created at: March 20, 2026, 1:41 p.m.