Triple
T15957821
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AST |
E386979
|
entity |
| Predicate | IANAZoneExample |
P719
|
FINISHED |
| Object |
Asia/Damascus
Asia/Damascus is the IANA time zone identifier representing the local civil time observed in Damascus, Syria.
|
E1188279
|
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: Asia/Damascus | Statement: [AST, IANAZoneExample, Asia/Damascus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Asia/Damascus Context triple: [AST, IANAZoneExample, Asia/Damascus]
-
A.
Asia/Baghdad
Asia/Baghdad is the IANA time zone identifier representing the local time for Baghdad, Iraq.
-
B.
Asia/Kuwait
Asia/Kuwait is the time zone corresponding to Kuwait, used for standard timekeeping in that country and some associated regions.
-
C.
Asia/Hebron
Asia/Hebron is an IANA time zone identifier covering the Hebron area in the Palestinian territories, typically aligned with Eastern European Time and its daylight saving adjustments.
-
D.
Asia/Bahrain
Asia/Bahrain is an IANA time zone identifier representing the standard time observed in the Kingdom of Bahrain in the Arabian Gulf region.
-
E.
Asia/Aden
Asia/Aden is an IANA time zone identifier representing the standard time observed in Aden, Yemen, within the Asia region.
- 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: Asia/Damascus Triple: [AST, IANAZoneExample, Asia/Damascus]
Generated description
Asia/Damascus is the IANA time zone identifier representing the local civil time observed in Damascus, Syria.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Asia/Damascus Target entity description: Asia/Damascus is the IANA time zone identifier representing the local civil time observed in Damascus, Syria.
-
A.
Asia/Baghdad
Asia/Baghdad is the IANA time zone identifier representing the local time for Baghdad, Iraq.
-
B.
Asia/Kuwait
Asia/Kuwait is the time zone corresponding to Kuwait, used for standard timekeeping in that country and some associated regions.
-
C.
Asia/Hebron
Asia/Hebron is an IANA time zone identifier covering the Hebron area in the Palestinian territories, typically aligned with Eastern European Time and its daylight saving adjustments.
-
D.
Asia/Bahrain
Asia/Bahrain is an IANA time zone identifier representing the standard time observed in the Kingdom of Bahrain in the Arabian Gulf region.
-
E.
Asia/Aden
Asia/Aden is an IANA time zone identifier representing the standard time observed in Aden, Yemen, within the Asia region.
- 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_69d86da882448190a82ea962fe343b79 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156fc6f348190b49c4858281a0904 |
completed | April 16, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffc3c3aae081909366c01b3fec4d47 |
completed | May 9, 2026, 11:31 p.m. |
| NEDg | Description generation | batch_69ffc4ba0a988190b1d93ce6479bac88 |
completed | May 9, 2026, 11:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffc5902904819097a2c5efbde55882 |
completed | May 9, 2026, 11:38 p.m. |
Created at: April 10, 2026, 4:53 a.m.