Triple
T23344645
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Messier 77 |
E591822
|
entity |
| Predicate | arpNumber |
P151959
|
FINISHED |
| Object | 37 |
—
|
LITERAL FINISHED |
How this triple was built (2 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: 37 | Statement: [Messier 77, arpNumber, 37]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: arpNumber Context triple: [Messier 77, arpNumber, 37]
-
A.
ayahNumber
Indicates the specific verse number assigned to an ayah within a surah or text.
-
B.
routeNumber
Indicates the specific identifying number assigned to a route within a transportation or delivery network.
-
C.
addressAllocation
Indicates the assignment or reservation of an address (such as an IP or memory address) for use by a specific entity or resource.
-
D.
ringNumber
Indicates that an entity is assigned a specific ring identifier or position number within a ring-structured system or sequence.
-
E.
ASPANumber
Indicates a relationship where an entity is associated with a specific American Society of Pension Actuaries (ASPA) identification number used for professional or administrative purposes.
- F. None of above. chosen
Provenance (4 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_69e25d20e3d08190bcede87673cafb25 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f198358fb8819094c74cfd53cbab44 |
completed | April 29, 2026, 5:33 a.m. |
| PD | Predicate disambiguation | batch_69effcfd8d288190937a887fe6023c11 |
completed | April 28, 2026, 12:19 a.m. |
| PDg | Predicate description generation | batch_69f01d88b4ec8190a2a17a88e0eda178 |
completed | April 28, 2026, 2:38 a.m. |
Created at: April 17, 2026, 5:19 p.m.