Triple
T15704975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arraiolos |
E380683
|
entity |
| Predicate | timeZone |
P109
|
FINISHED |
| Object |
WET
WET (Western European Time) is a standard time zone used by several Western European countries, including Portugal and the United Kingdom during winter months, corresponding to UTC+0.
|
E1172165
|
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: WET | Statement: [Arraiolos, timeZone, WET]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WET Context triple: [Arraiolos, timeZone, WET]
-
A.
Wet
Wet is an American indie pop band known for its minimalist, emotionally intimate songs that blend atmospheric production with vulnerable lyrics.
-
B.
Hot & Wet
"Hot & Wet" is a 2003 R&B album by American group 112 that blends smooth ballads with club-oriented tracks.
-
C.
Wet Me
Wet Me is an adult film scene featured as a segment within the pornographic movie "This Ain't a Game."
-
D.
wat
Wat is a Buddhist temple complex commonly found in mainland Southeast Asia, serving as a religious, cultural, and community center.
-
E.
Dangerous When Wet
Dangerous When Wet is a 1953 MGM musical comedy film starring Esther Williams, best known for its elaborate aquatic sequences and direction by Charles Walters.
- 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: WET Triple: [Arraiolos, timeZone, WET]
Generated description
WET (Western European Time) is a standard time zone used by several Western European countries, including Portugal and the United Kingdom during winter months, corresponding to UTC+0.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: WET Target entity description: WET (Western European Time) is a standard time zone used by several Western European countries, including Portugal and the United Kingdom during winter months, corresponding to UTC+0.
-
A.
Wet
Wet is an American indie pop band known for its minimalist, emotionally intimate songs that blend atmospheric production with vulnerable lyrics.
-
B.
Hot & Wet
"Hot & Wet" is a 2003 R&B album by American group 112 that blends smooth ballads with club-oriented tracks.
-
C.
Wet Me
Wet Me is an adult film scene featured as a segment within the pornographic movie "This Ain't a Game."
-
D.
wat
Wat is a Buddhist temple complex commonly found in mainland Southeast Asia, serving as a religious, cultural, and community center.
-
E.
Dangerous When Wet
Dangerous When Wet is a 1953 MGM musical comedy film starring Esther Williams, best known for its elaborate aquatic sequences and direction by Charles Walters.
- 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_69d86d9bf930819082b30cf6d169297c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04f6fc3608190a85b25755f5345db |
completed | April 16, 2026, 2:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff757997348190b29a9b55ba08169f |
completed | May 9, 2026, 5:57 p.m. |
| NEDg | Description generation | batch_69ff7653ccc08190b4b44b4f55344f65 |
completed | May 9, 2026, 6 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff76d21a148190bbe66c3ff12386f3 |
completed | May 9, 2026, 6:02 p.m. |
Created at: April 10, 2026, 4:45 a.m.