Triple
T16159904
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clear Lake area |
E392149
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object |
Webster
Webster is a city in the Houston metropolitan area of Texas, known for its proximity to Clear Lake and the NASA Johnson Space Center.
|
E1197378
|
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: Webster | Statement: [Clear Lake area, near, Webster]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Webster Context triple: [Clear Lake area, near, Webster]
-
A.
Webster
Webster is a common English surname most famously associated with American lexicographer Noah Webster, whose name is linked to influential early American dictionaries.
-
B.
Merriam
Merriam is a surname most notably associated with American zoologist and ethnographer Clinton Hart Merriam.
-
C.
Merriam
Merriam is a small suburban city in Johnson County, Kansas, within the Kansas City metropolitan area.
-
D.
Webster’s Unabridged Dictionary
Webster’s Unabridged Dictionary is a comprehensive, authoritative American English dictionary renowned for its extensive word coverage and detailed definitions.
-
E.
An American Dictionary of the English Language
An American Dictionary of the English Language is Noah Webster’s landmark 1828 dictionary that helped standardize American English spelling and usage.
- 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: Webster Triple: [Clear Lake area, near, Webster]
Generated description
Webster is a city in the Houston metropolitan area of Texas, known for its proximity to Clear Lake and the NASA Johnson Space Center.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Webster Target entity description: Webster is a city in the Houston metropolitan area of Texas, known for its proximity to Clear Lake and the NASA Johnson Space Center.
-
A.
Webster
Webster is a common English surname most famously associated with American lexicographer Noah Webster, whose name is linked to influential early American dictionaries.
-
B.
Merriam
Merriam is a surname most notably associated with American zoologist and ethnographer Clinton Hart Merriam.
-
C.
Merriam
Merriam is a small suburban city in Johnson County, Kansas, within the Kansas City metropolitan area.
-
D.
Webster’s Unabridged Dictionary
Webster’s Unabridged Dictionary is a comprehensive, authoritative American English dictionary renowned for its extensive word coverage and detailed definitions.
-
E.
An American Dictionary of the English Language
An American Dictionary of the English Language is Noah Webster’s landmark 1828 dictionary that helped standardize American English spelling and usage.
- 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_69d87f1d32208190942e4e499a80c18c |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21e5de3c481908eb5cdf194a47ff7 |
completed | April 17, 2026, 11:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff7b05a588190a44d1c922195a87b |
completed | May 10, 2026, 3:12 a.m. |
| NEDg | Description generation | batch_69fff87caefc8190836d690dfb2523f9 |
completed | May 10, 2026, 3:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fff98b3d7c8190bb284321d17f58e2 |
completed | May 10, 2026, 3:20 a.m. |
Created at: April 10, 2026, 5:01 a.m.