Triple
T13721430
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mottingham |
E329045
|
entity |
| Predicate | postcodeDistrict |
P222
|
FINISHED |
| Object |
SE9
SE9 is a southeast London postcode district covering areas such as Mottingham, Eltham, and New Eltham.
|
E1057014
|
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: SE9 | Statement: [Mottingham, postcodeDistrict, SE9]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SE9 Context triple: [Mottingham, postcodeDistrict, SE9]
-
A.
NE-92 trains
NE-92 trains are a type of electric multiple-unit rolling stock used on Mexico City Metro’s Line 2, known for their high-capacity urban passenger service.
-
B.
Keio 9000 series
The Keio 9000 series is a Japanese electric multiple unit train type operated by Keio Corporation on its commuter rail lines in the Tokyo area.
-
C.
SETE
SETE is the company responsible for operating and managing the Eiffel Tower in Paris.
-
D.
NS-93 trains
NS-93 trains are a class of electric multiple-unit metro trains used on the Santiago Metro system in Chile.
-
E.
Odakyu 70000 series GSE
The Odakyu 70000 series GSE is a premium limited express electric multiple unit train operated by Odakyu Electric Railway in Japan, known for its panoramic observation decks and use on Romancecar services.
- 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: SE9 Triple: [Mottingham, postcodeDistrict, SE9]
Generated description
SE9 is a southeast London postcode district covering areas such as Mottingham, Eltham, and New Eltham.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SE9 Target entity description: SE9 is a southeast London postcode district covering areas such as Mottingham, Eltham, and New Eltham.
-
A.
NE-92 trains
NE-92 trains are a type of electric multiple-unit rolling stock used on Mexico City Metro’s Line 2, known for their high-capacity urban passenger service.
-
B.
Keio 9000 series
The Keio 9000 series is a Japanese electric multiple unit train type operated by Keio Corporation on its commuter rail lines in the Tokyo area.
-
C.
SETE
SETE is the company responsible for operating and managing the Eiffel Tower in Paris.
-
D.
NS-93 trains
NS-93 trains are a class of electric multiple-unit metro trains used on the Santiago Metro system in Chile.
-
E.
Odakyu 70000 series GSE
The Odakyu 70000 series GSE is a premium limited express electric multiple unit train operated by Odakyu Electric Railway in Japan, known for its panoramic observation decks and use on Romancecar services.
- 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_69d80770b9bc81909f70c8c317d53cff |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69de01f3b46481909ceedfa78e9ca92b |
completed | April 14, 2026, 8:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d5c4f848190993f829824eabbef |
completed | May 3, 2026, 7:09 p.m. |
| NEDg | Description generation | batch_69f79e77b5e88190a85f4061c8abb8a4 |
completed | May 3, 2026, 7:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f79fa5249481909b2c046ed9801371 |
completed | May 3, 2026, 7:19 p.m. |
Created at: April 9, 2026, 9:55 p.m.