Triple
T8577509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Comet 67P/Churyumov–Gerasimenko |
E203083
|
entity |
| Predicate | firstSoftLandingDate |
P6267
|
FINISHED |
| Object | 2014-11-12 |
—
|
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: 2014-11-12 | Statement: [Comet 67P/Churyumov–Gerasimenko, firstSoftLandingDate, 2014-11-12]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstSoftLandingDate Context triple: [Comet 67P/Churyumov–Gerasimenko, firstSoftLandingDate, 2014-11-12]
-
A.
firstSuccessfulLaunchDate
Indicates the calendar date on which an entity achieved its first successful launch.
-
B.
firstFlightLandingDate
Indicates the calendar date on which an aircraft or flight successfully completed its first landing.
-
C.
firstFlybyDate
Indicates the date on which an object or mission first performed a flyby of a target body or location.
-
D.
firstIntroductionDate
Indicates the date on which an entity was first introduced or presented for the first time.
-
E.
dateOfLanding
chosen
Indicates the specific calendar date on which a landing event took place.
- F. None of above.
Provenance (3 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_69ca8328ebe481909a8c038fa79959b4 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbea97787481909ebbaa45f59cbdaa |
completed | March 31, 2026, 3:39 p.m. |
| PD | Predicate disambiguation | batch_69cbd11b13108190b07f8f161425a585 |
completed | March 31, 2026, 1:50 p.m. |
Created at: March 30, 2026, 6:22 p.m.