Triple
T20326973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 47 Tucanae |
E492362
|
entity |
| Predicate | numberOfKnownMillisecondPulsars |
P139709
|
FINISHED |
| Object | over 20 |
—
|
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: over 20 | Statement: [47 Tucanae, numberOfKnownMillisecondPulsars, over 20]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfKnownMillisecondPulsars Context triple: [47 Tucanae, numberOfKnownMillisecondPulsars, over 20]
-
A.
pulsarSpinPeriod
Indicates the duration of one complete rotation of a pulsar, expressing how long it takes the pulsar to spin once about its axis.
-
B.
numberOfReportedPlanetCandidates
Indicates the count of planet candidates that have been reported or identified in a given context or dataset.
-
C.
numberOfStarsWithPlanets
Indicates the count of stars that have one or more planets associated with them.
-
D.
hasPulsarCompanion
Indicates that one astronomical object exists in a bound system with, or is accompanied by, a pulsar.
-
E.
numberOfVariableStars
Indicates the count of variable stars associated with or present in a given context or entity.
- 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_69e0b4a0134081909113563e1c3ba68a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e677e4130081909ec54f131939e442 |
completed | April 20, 2026, 7 p.m. |
| PD | Predicate disambiguation | batch_69e5762655ac8190a8cc48a29fa2c0c4 |
completed | April 20, 2026, 12:41 a.m. |
| PDg | Predicate description generation | batch_69e58d7481508190a87c8b88f9df9879 |
completed | April 20, 2026, 2:20 a.m. |
Created at: April 16, 2026, 11:21 a.m.