Triple
T33369260
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Space Launch Complex 41 |
E854438
|
entity |
| Predicate | padNumber |
P176553
|
FINISHED |
| Object | 41 |
—
|
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: 41 | Statement: [Space Launch Complex 41, padNumber, 41]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: padNumber Context triple: [Space Launch Complex 41, padNumber, 41]
-
A.
plateNumberOf
Indicates the license plate number that is assigned to or associated with a particular vehicle.
-
B.
BDNumber
Indicates that an entity is associated with a specific BD (Business Development or similar domain-specific) identification number used to uniquely reference it.
-
C.
padsCount
Indicates the number of pads associated with or allocated to a given entity or context.
-
D.
wardNumber
Indicates the specific ward identifier or number associated with an entity, typically within an institution like a hospital or electoral district.
-
E.
frontNumbering
Indicates that an entity is assigned a numbering or label that appears at the front or beginning of something (e.g., a sequence, document, or list).
- 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_69f3496bda8c8190bfc8fade9d1b791c |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6e3156ea48190b604e414665ef351 |
completed | May 3, 2026, 5:54 a.m. |
| PD | Predicate disambiguation | batch_69f6de0b9ba48190887c9eb5d06a2e94 |
completed | May 3, 2026, 5:32 a.m. |
| PDg | Predicate description generation | batch_69f6e312d7fc819094dec41810f2585d |
completed | May 3, 2026, 5:54 a.m. |
Created at: May 1, 2026, 1:35 a.m.