Triple
T11093285
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Morningside |
E262308
|
entity |
| Predicate | postalDistrict |
P920
|
FINISHED |
| Object |
EH10
EH10 is a postcode district in Edinburgh, Scotland, covering areas such as Morningside and surrounding neighborhoods.
|
E904317
|
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: EH10 | Statement: [Morningside, postalDistrict, EH10]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: EH10 Context triple: [Morningside, postalDistrict, EH10]
-
A.
EH101-400
The EH101-400 is a variant of the AW101 medium-lift, multi-role helicopter, tailored for specific mission and customer requirements.
-
B.
EH53
EH53 is a postcode district in the EH (Edinburgh) area of Scotland, covering Mid Calder and its surrounding locality in West Lothian.
-
C.
H10
H10 is the shorthand name for Hilbert’s tenth problem, a famous decision problem in number theory concerning the solvability of Diophantine equations.
-
D.
EH33
EH33 is a postcode district in the EH (Edinburgh) area of Scotland, covering Tranent and its surrounding locality in East Lothian.
-
E.
FH10
FH10 is a proprietary vector graphics file format associated with Macromedia FreeHand version 10, used for storing illustrations and page layouts.
- 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: EH10 Triple: [Morningside, postalDistrict, EH10]
Generated description
EH10 is a postcode district in Edinburgh, Scotland, covering areas such as Morningside and surrounding neighborhoods.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: EH10 Target entity description: EH10 is a postcode district in Edinburgh, Scotland, covering areas such as Morningside and surrounding neighborhoods.
-
A.
EH101-400
The EH101-400 is a variant of the AW101 medium-lift, multi-role helicopter, tailored for specific mission and customer requirements.
-
B.
EH53
EH53 is a postcode district in the EH (Edinburgh) area of Scotland, covering Mid Calder and its surrounding locality in West Lothian.
-
C.
H10
H10 is the shorthand name for Hilbert’s tenth problem, a famous decision problem in number theory concerning the solvability of Diophantine equations.
-
D.
EH33
EH33 is a postcode district in the EH (Edinburgh) area of Scotland, covering Tranent and its surrounding locality in East Lothian.
-
E.
FH10
FH10 is a proprietary vector graphics file format associated with Macromedia FreeHand version 10, used for storing illustrations and page layouts.
- 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_69d6aa9a40d88190a373e2c7e48285db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d799ed12d88190a4ad8c346d68f11f |
completed | April 9, 2026, 12:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3e7d3043c8190bdbe0ec51992db0c |
completed | April 18, 2026, 8:21 p.m. |
| NEDg | Description generation | batch_69e3f2cbb4708190a328cff473104d14 |
completed | April 18, 2026, 9:08 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e3f497a01881909d1dae70a02e5f97 |
completed | April 18, 2026, 9:16 p.m. |
Created at: April 8, 2026, 9:27 p.m.