Triple
T73029
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IEEE 1588 Precision Time Protocol standard |
E1462
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
PTP
PTP is a network-based time synchronization protocol defined by the IEEE 1588 standard that enables highly precise clock alignment across distributed systems.
|
E6437
|
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: PTP | Statement: [IEEE 1588 Precision Time Protocol standard, alsoKnownAs, PTP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PTP Context triple: [IEEE 1588 Precision Time Protocol standard, alsoKnownAs, PTP]
-
A.
PT
PT is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Portugal in international standards and systems.
-
B.
PRT
PRT is the three-letter ISO 3166-1 alpha-3 country code assigned to Portugal.
-
C.
DOT
DOT is the commonly used acronym for the United States Department of Transportation, the federal agency responsible for national transportation policy and infrastructure.
-
D.
NMTI
NMTI is a prestigious United States presidential award that honors individuals, teams, and companies for outstanding contributions to technological innovation and advancement.
-
E.
NMTI
NMTI is an acronym whose specific meaning depends on context, commonly referring to various technical or institutional names.
- 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: PTP Triple: [IEEE 1588 Precision Time Protocol standard, alsoKnownAs, PTP]
Generated description
PTP is a network-based time synchronization protocol defined by the IEEE 1588 standard that enables highly precise clock alignment across distributed systems.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: PTP Target entity description: PTP is a network-based time synchronization protocol defined by the IEEE 1588 standard that enables highly precise clock alignment across distributed systems.
-
A.
PT
PT is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Portugal in international standards and systems.
-
B.
PRT
PRT is the three-letter ISO 3166-1 alpha-3 country code assigned to Portugal.
-
C.
DOT
DOT is the commonly used acronym for the United States Department of Transportation, the federal agency responsible for national transportation policy and infrastructure.
-
D.
NMTI
NMTI is a prestigious United States presidential award that honors individuals, teams, and companies for outstanding contributions to technological innovation and advancement.
-
E.
NMTI
NMTI is an acronym whose specific meaning depends on context, commonly referring to various technical or institutional names.
- 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_69a24c06b3bc8190aa4ac89026115efc |
completed | Feb. 28, 2026, 1:59 a.m. |
| NER | Named-entity recognition | batch_69a24f190d5481909ac8252867242341 |
completed | Feb. 28, 2026, 2:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a25abaa7dc8190b65fa9d213a40790 |
completed | Feb. 28, 2026, 3:02 a.m. |
| NEDg | Description generation | batch_69a25ba974948190bb064dca99613bc6 |
completed | Feb. 28, 2026, 3:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a25c2b29e08190af62c6753c4fdd11 |
completed | Feb. 28, 2026, 3:08 a.m. |
Created at: Feb. 28, 2026, 2:03 a.m.